Data Science

Do you want to join an innovative team of engineers and scientists who use Machine Learning (ML), Natural Language Processing (NLP), and statistical techniques to provide the best customer experience on the Earth? Do you want to change the way that people interact with customer service? Our team aims to lead the technical innovations in these spaces and set the bar for every other company in existence. If you can envision how big data and technology can be used to improve customer experience, if you love to innovate, if you enjoy discovering knowledge from big structured and unstructured data, and if you deliver results, then we want you on our team. We're specifically looking for a strong analytical thinker with excellent communication skills who can improve our team's infrastructure and build new analytical visualization tools for various purposes.You will participate in all phases of scientific projects, including big data analysis, designing and implementing product experiments, automating analytical metrics mechanisms, and communicating results. You will earn trust from our business partners by collaborating with them to define key research questions, communicating scientific approaches and findings, listening to and incorporating their feedback, and delivering successful solutions.Key job responsibilities- Design, build, and maintain robust, automated, and user-friendly systems, reports, dashboards, and other analytical solutions at scale.- Proactively identify opportunities and develop automated, scalable analytical solutions to address business needs.- Collaborate with Product Managers, Scientists, Engineers, and Data Engineers to consult, develop, and implement key performance indicators (KPIs), automated reporting solutions, process automation, and enhancements to data infrastructure.- Develop end-to-end automation pipelines for applications and machine learning models.- Leverage advanced analytics skills to extract meaningful insights and learnings from large, complex datasets.- Implement strategies to measure and improve the customer experience, driving positive outcomes.- Identify patterns and trends in data, and analyzing their relation to and impact on desired outcomes.- Lead and inspire the team to high performance, setting the vision, maintaining high standards, and delivering exceptional results through energy and motivation.- Manage, mentor, and facilitate the growth and development of a team of Business Intelligence Engineers (BIEs), fostering their skills and expertise.A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamJoin our team of product leaders, scientists and engineers who develop and deploy Large Language Model (LLM)-based Conversational Artificial Intelligence (AI) systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- 7+ years of business intelligence and analytics experience- Experience with SQL- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software ...

Amazon Advertising operates at the intersection of e-Commerce and Advertising, offering a range of digital advertising solutions with the goal of helping our customers discover and shop for anything they want to buy. The Amazon Advertising business is growing at a fast pace and this team’s mission is to apply science and technology to accelerate that growth through best-in-class solutions. As the Advertising Measurement Research (AMR) team within Amazon Ads, we conduct customer-relevant industry-leading research and metric development across advertisers and verticals, with the purpose of developing an understanding of how our advertisers’ investment impacts their businesses on- and off-Amazon. We are seeking a self-driven Data Scientist with strong research design and analytical skills to join our team. In this role, you will leverage your knowledge in AI/ML techniques and internal and industry data to help advertisers and marketers understand the performance of various advertising products along with supporting machine learning at scale. To accomplish this, you will work closely with the principal product manager, BIE and science leaders on the AMR team and collaborate with cross-functional teams to design, develop, and implement advanced data tools, predictive models, and machine learning algorithms to support advertising strategies and optimize revenue streams. You will work very closely with research scientists on the team to explore new ideas, techniques, and tools as well as test hypotheses generated by research scientists, providing feedback and refinement. You will analyze large-scale data to identify patterns and trends, and design and run A/B experiments to improve advertiser experiences. Key job responsibilities- Design and execute large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems- Create tools and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business- Use broad expertise to recommend the right strategies, methodologies, and best practices, teaching and mentoring others- Key influencer of your team’s business strategy and of related teams’ strategies- Communication and documentation of methodologies, insights, and recommendations for senior leaders with various levels of technical knowledgeAbout the teamThe Advertising Measurement Research team designs and conducts research studies across advertisers and verticals, with the purpose of developing an understanding of how our advertisers’ investment impacts their businesses, both on- and off-Amazon. To benefit customers directly, we develop case studies or white papers, offering advertisers a comprehensive view of emerging measurement trends and best practices. Also, our work influences new product features and metrics to build.BASIC QUALIFICATIONS- 2+ years of data scientist experience- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Are you interested in using data and science to solve the largest scale problems in AWS Data Center Global Operations? Do you want to play a critical role in developing the future of repair in Data Center Operations through Machine Learning? Come join us!The Central Infrastructure Analytics Team (CIAT) Sr. Applied Scientist transforms data into actionable insights for global teams by 1) interpreting enterprise scale data sets from a variety of internal sources to uncover the functional activity and implications, 2) analyzing this data to discover patterns, trends and correlations, 3) developing hypotheses and assisting in the design of experiments to explore these hypotheses, and 4) developing and deploying actionable ML models and business intelligence solutions for global customers. CIAT collects data from diverse sources of internal systems which often require cleaning, interpretation, and combination in order to tell a functional story. The Applied Scientist role is critical in transitioning the analysis output from Descriptive/Diagnostic to Predictive/Prescriptive, and providing the operations teams with actionable insights to enable ongoing improvements. The Applied Scientist will use a variety of tools (e.g. Python, SQL, SageMaker, R, SAS, etc.) to deep dive data sources to discover useful patterns that will drive process improvement or remediate systemic issues.Key job responsibilities• Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across data center global operations• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.• Work with a scientists and software engineers to deliver machine-learning and data science solutions to production.• Perform hands-on data analysis, employ statistical testing methods and strategies, run regular A/B tests, and clearly communicate the impact to technical and non-technical audiences in senior leadership.• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.In this role you will apply advanced analysis techniques and statistical concepts to draw insights from enterprise scale datasets, build scalable machine learning models, and create intuitive data visualizations. You will contribute to each layer of the data solutions, working closely with Data Scientists, Engineers, Business Intelligence Engineers, and Global Process Owners to understand the business objectives, obtain relevant datasets and build prototype predictive and prescriptive analytic models. You will review key results with business leaders and stakeholders, and you will work with your team to develop and deploy a productionized version of the model to your global customers. About the teamThe Central Infrastructure Analytics Team (CIAT) provides critical business intelligence services across a broad range of functions within the AWS global Data Center Community (DCC). Situated within Central Operations, CIAT is the analytics hub for Data Center based organizations, including but not limited to: operations, logistics, engineering and equipment management, safety, and security. CIAT is comprised of several specialty Builder functions including data engineering, business intelligence (visualization), systems engineering, and data science. We build business intelligence solutions that drive the right actions at scale across our global data centers and supporting services.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed.This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilitiesAs an experienced technology professional, you will be responsible for: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs2. Providing technical guidance and troubleshooting support throughout project delivery3. Collaborating with stakeholders to gather requirements and propose effective migration strategies4. Acting as a trusted advisor to customers on industry trends and emerging technologies5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, related field or equivalent experience.- 3+ years of experience in cloud architecture and implementation.- 3+ years experience with detailed knowledge of data warehouse technical architecture, infrastructure components, ETL / ELT and analytic tools, data engineering, and large scale data manipulation using distributed computing technologies (e.g. Spark, EMR, Hive, Kafka, RedShift).- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Innovation is at the core of what we do. We believe that by removing and reducing the barriers thatprevent people from taking their medications, we can help customers conveniently get the medications they need, when they need them and take them as prescribed. We have provided customers with the ability to find transparent and simple pricing, receive 24/7 customer service support, and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the world’s safest and fastest online pharmacy.We are looking for a Data Engineer to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy!As a Data Engineer in Pharmacy team, you will partner with Software Engineers, Business Intelligence Engineers and product managers. In close collaboration with the Sr. Data Engineer on the team, you will design, implement, and maintain next generation BI solutions for large scale, highly secure and complex data structures to ensure the data is auditable, available and accessible. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data.#everydaybetterKey job responsibilities• Design, implement, maintain and support a secure and robust data lake in native AWS with 300+ datasets which contain both PII and PHI data.• Implement ingestion routines both real time and batch using best practices in modeling, ETL/ELTprocesses by leveraging AWS technologies and big data tools.• Interface with other technology teams to extract, transform, and load data from a wide varietyof data sources using SQL, Python and AWS big data technologies.• Gather business and functional requirements and translate into secure, robust, scalable, operable solutions with a flexible and adaptable architecture.• Collaborate with engineers to help adopt best practices in system creation, integrity, test design,analysis, validation, and documentation.• Help continually improve ongoing reporting and analysis processes, automating or simplifyingself-service tools for customers.• Explore and learn the latest AWS technologies to provide new capabilities and increaseefficiency.About the teamInnovation is at the core of what we do. We believe that by removing and reducing the barriers that prevent people from taking their medications, we can help customers conveniently get the medications they need, when they need them and take them as prescribed.We have provided customers with theability to find transparent and simple pricing, receive 24/7 customer service support, and have their meds delivered to their doorsteps while creating programs and products that embody our mission and position ourselves in becoming the world’s safest and fastest online pharmacy.We are looking for a Data Engineer to join us on our journey to make it drastically easier for customers to find, choose, afford, and engage with the services, products, and professionals they need to get and stay healthy!As a Data Engineer in Pharmacy team, you will partner with Software Engineers, Business Intelligence Engineers and product managers. In close collaboration with the Sr. Data Engineer on the team, you will design, implement, and maintain next generation BI solutions for large scale, highly secure and complex data structures to ensure the data is auditable, available and accessible. You will gain a deep understanding of our services and the data they produce, and become our resident expert in how to transform that data into a format that is useful for analytics and business intelligence. You will proactively help to identify new data for integration with our platform, and propose and implement new technologies to help us better understand our data.BASIC QUALIFICATIONS- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- 3+ years of data engineering experience- Experience with Redshift, Oracle, NoSQL etc.- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field- Experience in working and delivering end-to-end projects independently.- Excellent written and verbal communication skills Amazon is committed to a diverse and inclusive workplace. ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics is seeking students to join us for a 5-6 month internship (full-time, 40 hours per week) as Data Science Co-op.Please note that by applying to this role you would be considered for Data Scientist spring co-op and fall co-op roles on various Amazon Robotics teams. The internship/co-op project(s) and location are determined by the team the student will be working on.Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-roboticsAbout the teamAmazon empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.BASIC QUALIFICATIONS- Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field- Degree program must be based in the United States with an expected graduation of December 2025 or later- Must be eligible for and available for full-time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co-op- At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related- At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication- At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) ...

Excited by Big Data, Machine Learning, and Predictive Software? Interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on Terabytes of Data?At Amazon Global Logistics (AGL), our vision is to become the carrier of choice for all of our Selling Partners' cross-border shipping needs, offering a complete set of end-to-end cross-border solutions from key manufacturing hubs to footprint countries, supporting businesses that use Amazon to grow their business globallKey job responsibilities- Utilize machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.- Analyze and extract relevant information from business data to help automate and optimize key processes.- Design, develop, and evaluate highly innovative models for predictive learning.- Establish scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation.- Research and implement novel machine learning and statistical approaches.A day in the lifeAs a Data Scientist III in the Business Insight team at Amazon Global Logistics, you will be responsible for developing state-of-the-art large-scale Machine Learning Services involving vast amounts of data and macroeconomic inputs. Your primary focus will be to produce robust forecasts to aid operational excellence and continue improving the customer experience.You will collaborate with cross-functional teams to understand seller behaviors and their impacts on demand generation, demand forecasting, pricing strategies, and asset utilization, especially in areas with variable demand. Your expertise in machine learning, data mining, and statistical techniques will be crucial in creating scalable solutions that drive business impact.About the teamThe Business Insight team at Amazon Global Logistics is dedicated to leveraging data and advanced analytics to drive operational excellence and enhance the customer experience. As we expand our global logistics operations, the need for solid understanding of seller behaviors, demand forecasting, pricing strategies, and asset utilization becomes increasingly vital.Our team comprises talented and experienced professionals who are passionate about applying innovative machine learning techniques to real-world problems and converting them into highly business-impacting solutions. We foster a collaborative environment that encourages creativity, continuous learning, and a strong commitment to delivering exceptional results.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience- Experience with statistical models e.g. multinomial logistic regression ...

Do you have a passion for data? Are you matriculating in a Master’s or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.For more information on the Amazon Science community please visit https://www.amazon.scienceBASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)- Experience in data science, machine learning or data mining- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data- Must be actively enrolled in a Master's or PhD program ...

AWS Elastic Compute Cloud (EC2) Capacity Org is looking for an experienced applied optimization expert. This leader will join the Optimization Science Team to design, implement, and scale decision-making algorithms to manage EC2’s virtual and physical capacity systems.EC2 Capacity owns EC2’s top-level customer satisfaction metric capacity availability and the forecasting & decision-making systems which drive significant capex investments in server ordering for AWS data centers. Optimization Science is a core team involved in the end-to-end design and implementation of various decision-making systems, which manage the trade-off between capex and capacity availability while matching demand and supply at different planning horizons. The stakeholders and partners include engineering and product management orgs within EC2 as well as the AWS Infrastructure Supply Chain (AIS) organization.We are seeking an expert with a strong background in mathematical optimization with excellent modeling skills, and expertise in the numerical solution of continuous and discrete problems using exact and and heuristic methods applied to very large-scale problems. Experience with decision-making under uncertainty; e.g., robust or stochastic optimization is an advantage. The candidate will apply their knowledge to match the end-customer demand for virtual machines to physical resource supply at horizons ranging from five minutes to 13 years. The variety of problems requires principled mathematical decomposition and a good interface design between inputs and outputs at various horizons. Navigating the ambiguity of design choices across horizons is a critical component of the role. In a typical project, we analyze large volumes of data, and then develop a prescriptive optimization model with inputs from ML or statistical models and business users. Our solution approaches are validated through simulations and / or production A/B tests. Being successful requires having the scientific breadth to understand the interactions between different phases of a project from data analysis through to production, including resolving issues after rollout.As a Senior Applied Scientist on the EC2 Optimization Science team, you are critical to the speed and excellence of the end-to-end deliveries of production systems with optimization-based analytical engines. You will be hands-on with the mathematical modeling and implementation, and will also contribute to the design of the engineering system with the scalability, extensibility, maintainability, and correctness of the optimization engine in mind. You will review approaches by other scientists and engineers in terms of business relevance, technical validity, engineering / science interface, and computational performance. You will mentor and lead junior scientists by example. Communicating your results to guide the direction of the business and working with software development teams to implement your ideas in code is key to success. You will write technical, and less frequently, business documents that influence engineering investments and business direction. Collaborating with other scientists, software engineers, and product managers, you will develop creative, novel, and data-driven approaches to improve our existing cloud compute offerings and define new ones in a fast-paced and quickly changing environment, improving the experience of our customers and impacting the bottom line of EC2.**Basic Qualifications**- PhD in Operations Research, Applied Mathematics, Computer Science, Statistics, or a related field. A PhD can be replaced by a master's degree in the same fields and four years of relevant academic and / or industry research experience.- At least 3 years of academic and / or industry experience after the PhD degree in solving large-scale optimization problems.- Track record of delivering analytical solutions with business impact.- In-depth knowledge of exact, approximation algorithms, and heuristic methods for solving difficult optimization problems like resource allocation, vehicle routing, network design.- In-depth knowledge of continuous and discrete optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi, XPRESS).- Ability to implement models and tools through the use of high-level modeling languages (e.g., AMPL, Mosel, R, Matlab).- Experience in prototyping and developing software in traditional programming languages (e.g., C++, Java, Python, Julia) using mathematical solver interfaces.- Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Python, Perl, Ruby) is a plus.- Good writing skills to document the models and analyses and for presenting business cases with results/conclusions in order to influence important decisions.**Preferred Qualifications**These are not required, but are a plus:- Knowledge and experience in statistical analysis and machine learning.- Publications in refereed academic journals.- Previous work in cloud computing.About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or Master's degree and 7+ years of building machine learning models or developing algorithms for business application experience ...

The vision of the Ontology Product Knowledge Team is to provide a standardized, semantically rich, easily discoverable, extensible, and universally applicable body of product knowledge that can be consistently utilized across customer shopping experiences, selling partner listing experiences and internal enrichment of product data. We aim to make product knowledge compelling, easy to use, and feature rich. Our work to build comprehensive product knowledge allows us to semantically understand a customer’s intent – whether that is a shopping mission or a seller offering products. We strive to make these experiences more intuitive for all customers.As an Ontologist, you work on a global team of knowledge builders to deliver world-class, intuitive, and comprehensive taxonomy and ontology models to optimize product discovery for Amazon web and mobile experiences. You collaborate with business partners and engineering teams to deliver knowledge-based solutions to enable product discoverability for customers. In this role, you will directly impact the customer experience as well as the company’s product knowledge foundation.Tasks and Responsibilities:- Develop logical, semantically rich, and extensible data models for Amazon's extensive product catalog- Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference- Create new schema using Generative Artificial Intelligence (generative AI) models- Analyze website metrics and product discovery behaviors to make data-driven decisions on optimizing our knowledge graph data models globally- Expand and refine the expansion of data retrieval techniques to utilize our extensive knowledge graph- Contribute to team goal setting and future state vision- Drive and coordinate cross-functional projects with a broad range of merchandisers, engineers, designers, and other groups that may include architecting new data solutions- Develop team operational excellence programs, data quality initiatives and process simplifications- Evangelize ontology and semantic technologies within and across teams at Amazon- Develop and refine data governance and processes used by global Ontologists- Mentor and influence peersInclusive Team Culture: Our team has a global presence: we celebrate diverse cultures and backgrounds within our team and our customer base. We are committed to furthering our culture of inclusion, offering continuous access to internal affinity groups as well as highlighting diversity programs.Work/Life Harmony: Our team believes that striking the right balance between work and your outside life is key. Our work is not removed from everyday life, but instead is influenced by it. We offer flexibility in working hours and will work with you to facilitate your own balance between your work and personal life.Career Growth: Our team cares about your career growth, from your initial company introduction and training sessions, to continuous support throughout your entire career at Amazon. We recognize each team member as an individual, and we will build on your skills to help you grow. We have a broad mix of experience levels and tenures, and we are building an environment that celebrates knowledge sharing.Perks:- You will have the opportunity to support CX used by millions of customers daily and to work with data at a scale very few companies can offer.- We have offices around the globe, and have the opportunity to be considered for global placement.- You’ll receive on the job training and group development opportunities.BASIC QUALIFICATIONS- Degree in Library Science, Information Systems, Linguistics or equivalent professional experience- 5+ years of relevant work experience working in ontology and/or taxonomy roles- Proven skills in data retrieval and data research techniques- Ability to quickly understand complex processes and communicate them in simple language- Experience creating and communicating technical requirements to engineering teams- Ability to communicate to senior leadership (Director and VP levels)- Experience with generative AI (e.g. creating prompts)- Knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN)- Knowledge of open-source and commercial ontology engineering editors (e.g. Protege, TopQuadrant products, PoolParty)- Detail-oriented problem solver who is able to work in fast-changing environment and manage ambiguity- Proven track record of strong communication and interpersonal skills- Proficient English language skills ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.We are calling on engineers who wants to contribute to a sustainable future through technology. Join us in developing solutions for renewable energy portfolio and reduce carbon footprint of our materials in data centers. In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, and last year, we reached 85% renewable energy across our business, and are on a path to power our operations with 100% renewable energy by 2025.We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. To learn more about AWS’s water+ commitment visit: Water Stewardship.Come join the team that is building the tools and innovative technology to manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farms.Key job responsibilitiesOur Software Engineers develop a Sustainability Data Platform that hosts analytical and predictive models. This platform helps AWS teams gain business insights on sustainability. You will collaborate with Data Engineers to build large data models and Data Scientists to create predictive models, enhancing decision-making. You will work with internal and external AWS customers to build a system that measures and provides actionable decisions to reduce carbon footprint.A day in the lifeTo learn more, you can visit: amazon sustainability in the cloudAbout the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service (CS), relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues.As a Research Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences.Key job responsibilities- Develop ML/GenAI-powered solutions for automating defect elimination workflows- Design and implement robust metrics to evaluate the effectiveness of ML/AI models- Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.The benefits that generally apply to regular, full-time employees include:- Medical, Dental, and Vision Coverage- Maternity and Parental Leave Options- Paid Time Off (PTO)- 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply.BASIC QUALIFICATIONS- 3+ years of building deep learning or machine learning models for business application experience- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field- Deep knowledge in one or more areas of machine learning or deep learning- Experience programming in Java, Python or related language ...

Amazon benefits is expanding our health actuarial team to support Amazon’s global benefit programs. We innovate and build world-class offerings and programs supporting over 1.5 million employees and their families across more than 60 countries. This role will work closely with our benefit managers, financial team, and clinical experts to build models, develop cost projections, evaluate program offerings and inform key benefit decisions in the US and internationally. We are looking for a motivated self-starter that can work independently in a fast paced, ambiguous environment. You’ll help us analyze large amounts of data, discover and solve real world problems and build metrics and models around benefit programs.Key job responsibilities- Support modeling and cost projections for US and International benefits. - Serve as a subject-matter expert on insurance renewals, healthcare trends, claims analysis, and industry benchmarks. - Implement metrics and processes to track and measure healthcare quality. - Design reports and dashboards to support tracking experience, outliers, and surfacing insights across healthcare cost, quality, and utilization.- Detect, research, and propose strategies to address gaps and anomalies.- Translate technical and financial results for a non-technical audience.- Design and implement program evaluations for vendor solutions and benefit programs. - Develop models and pricing analysis for medical outlier claims. - Review and recommend plan designs, plan offering strategies, and pricing for benefits.A day in the lifeOur primary focus is to ensure our stakeholders are enabled to effectively manage our benefit programs around the world. We provide actuarial and financial modeling support for medical, pharmacy, dental, vision, and behavioral health programs. We partner closely with finance, our economist team, benefit managers, business leaders, and clinical specialists to uncover actuarial insights.On any given day, we could be working on the following: - Collaborating with benefit managers to identify cost drivers and recommend changes.- Helping business leaders compare strategic benefit decisions.- Working with clinical specialists to evaluate the impact of new programs.- Establishing data pipelines for new and existing data.- Periodic travel required.- Some early mornings or late evenings to sync with international teams.About the teamThe Health and Wellness Team within Amazon Global Benefits ensures that our employees and their families have access to high quality, affordable, and frustration-free care by offering world class healthcare programs and services. We are striving to be Earth’s Best Employer, and are hiring for several new roles to help us build innovative solutions to meet the needs of our large and diverse employee population. This role contributes to these efforts, and collaborates with many internal and external leaders and teams.BASIC QUALIFICATIONS- 6+ years of proven, technical experience in health actuarial work- Experience producing clear and effective writing that informs and persuades- Experience with medical claims data (e.g., DRG, CPT, ICD-10 diagnosis codes , etc.)- Associate of the Society of Actuaries (ASA)- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience ...

Are you passionate about data and eager to make an impact at Amazon? We have the perfect career opportunity for you.The Foundational People Data Services team at Amazon is seeking an exceptional Data Engineer to join our data team. Our data platform delivers business intelligence to a diverse, global community of internal customers, drawing from one of the world's largest and most complex data sets. At Amazon, we have a culture of data-driven decision-making and require business intelligence that is timely, accurate, and actionable.As a Data Engineer, you will be responsible for designing and implementing data solutions using Amazon's cloud technologies. The ideal candidate excels at working with AWS ETL tools and is comfortable accessing and manipulating big data from multiple sources. You should passionately partner with business teams to identify strategic opportunities and deliver results. We're looking for someone with a strong drive to answer "why?" questions, excellent analytical abilities, and strong technical skills. Good written and verbal communication skills are essential. We're seeking a self-starter who is comfortable with ambiguity, able to think big while paying careful attention to detail, and thrives in a fast-paced, dynamic environment. If you're ready to influence Amazon's data landscape and drive impactful decisions, we want to hear from you!Key job responsibilities- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Contribute to the architecture and implementation of next generation data solutions from the ground up.- Manage AWS resources including S3, Athena, Batch, lambda etc.- Optimize automated processes for performance and fault tolerance.- Optimize support for ad-hoc analysis across various data sources- Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.- Make large and/or complex data more accessible, understandable and usable by applications and teams.A day in the lifeAs a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.About the teamBeginning in 2022, we built Foundational People Data Services, a secure, reliable, and fast way to store and consume worker data. We have helped builders across Amazon invent 7,800+ and growing experiences with our AWS-like, 1P data services which focus on the builder experience. We obsess over ensuring our data services are as foundational as electricity and water – always available, completely reliable, and convenient to use by builders. We’ve launched a secure and scalable people data store and event publishing bus; a people data catalog with federated ownership and compliance; role-based authorization and access controls to protect confidentiality; streamlined privacy reviews, depersonalization, and data subject access/deletion requests (DSARs/DSDRs); Tier-1 real-time data APIs for people data (PAPI); high-volume data transfer to the Andes data lake; and synthetic worker data to streamline testing.We have seen rapid growth, with Amazon systems consuming 1 trillion employee records annually through billions of API calls to our 1P data services each week. We now have 5,000+ builder customer teams across AWS, Alexa, Payroll, Builder Tools, MyHR, A to Z, Clarity, GREF, Workplace Health & Safety, Time and Attendance, and more – over 75% of them are outside of People Experience & Technology (PXT). Our 1P data services offer real-time APIs and updates, powering vital end-user tools like Phone Tool (1,100+ page views per minute and 50M+ per month), Chime (800K+ calls per workday), Slack (350k+ employees and contingent workers using per workday), facilities badge access (95k+ salaried employees currently swipe in/out of their building each work day), LDAP, internal systems access, payroll, and more.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, across the breadth of Amazon Shopping and AGI to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

At Amazon, the Leadership Principle “Strive to be Earth’s Best Employer” challenges us to create “a safer, more productive, higher performing, more diverse, and more just work environment,” and reinforces that nothing is more important than the safety and well-being of our teams. At Workplace Health and Safety (WHS) we strive to do just this. We work tirelessly to ensure we have the appropriate strategy, technology, and attitude to be successful. We also understand that people are at the center of safety and look to invest in talent that shares in our passion for making our employees and partners lives better.The WHS Data team is hiring a Business Intelligence Engineer (BIE). The Data team spans the Business Intelligence (BI) and Data Engineering (DE) functional areas, and is responsible with providing all reporting solutions required by the WHS Organization to drive workplace safety and regulatory compliance worldwide. This BIE role will primarily support the data and reporting needs for the Safety Performance Insights (SPI) BI team in the WHS Organization. This role regularly requires close engagement with senior leaders and principal PMs to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. The role will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. The role is required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups including leadership.Key job responsibilities-Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems-Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership-Identify opportunities and key criteria to drive analytical reporting and business strategy-Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting-Simplify and automate reporting, audits, and other data-driven activities-Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights-Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation-Learn new technology and techniques to meaningfully support product and process innovationA day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools ...

The Data Scientist in NLP within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing, evaluating and deploying solutions based on large pretrained language models into conversational AI systems that can understand and communicate with customers in a natural and contextually appropriate manner. This involves model development in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model.Key job responsibilities1. Lead the development of LLM-based chatbots and conversational AI systems for customer service applications.2. Implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment.3. Collaborate with cross-functional teams, including applied scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.4. Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.5. Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.6. Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environmentIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamJoin our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 5+ years of data scientist experience- Experience with unstructured textual data- Experience working with scientists, economists, software developers, or product managers- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

The Data and Artificial Intelligence (AI) team is a new function within Amazon Customer Service's Consumer Engagement Technology. We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy, and applying GenAI, computer vision, ontology, and natural language processing to customer service associate experiences and foundational technologies.As a Data Engineering Manager, you will be accelerating the evolution of data as a strategic asset within Amazon Customer Service. You will be a thought leader and key influencer who can translate complex business requirements and customer needs into innovative technology solutions. Your expertise will be crucial in shaping strategy and addressing complex data engineering challenges while driving forward-thinking approaches. You'll evaluate and prioritize initiatives to ensure we're focusing on the most impactful problems. As a "hands-on" technical leader, you'll take ownership of the design and quality of data solutions built by one or more teams, overseeing aspects such as usability, governance, performance, availability, security, and operations. You will manage diverse data at scale, set technical standards, and drive data strategy for Amazon Customer Service. This position will advance data engineering best practices, use data and AI to drive CX improvements, and transform and set new global standards for customer experience. You will lead a team of talented Data Engineers to develop scalable and maintainable data pipelines for both structured and unstructured data. The ideal candidate has strong business judgment, a keen sense of architectural design, excellent document skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, as well as other AWS technologies).You care deeply about customers and always strive to improve data engineering practices and team standards. You work well in a fast-paced setting, handling many projects at once and using your skills to create effective solutions. You can think strategically while still getting hands-on with the work, helping you solve complex problems and stay focused on making things better for customers. Key job responsibilities• Technical Leadership and Problem-Solving: Manage and grow the data engineering team, tackle complex data challenges, and serve as a technical leader on our most demanding, cross-functional projects. Develop a full and complete understanding of system interdependencies and limitations. Set standards for data engineering excellence, and drive continuous improvement across end-to-end data engineering processes. Architect and deliver efficient, scalable, and maintainable data solutions aligned with business needs. Lead deep-dive troubleshooting exercises and technical retrospectives to identify and resolve root causes of complex issues.• Strategic Communication and Influence: Exert technical influence over multiple teams and across leadership levels, increasing their effectiveness by sharing your deep knowledge and experience. You are a leader, builder, and an operator. Serve as a key influencer to leadership, addressing highly ambiguous challenges spanning multiple teams. Effectively communicate technical concepts and trade-offs to both technical and non-technical audiences, building consensus and alignment.• Innovation and Customer Focus: Proactively identify and pursue novel opportunities to leverage data in ways that significantly enhance customer experience and drive business value. Continuously stay abreast of industry trends and best practices, skillfully balancing time, effort, and feature considerations to make informed decisions and deliver customer impact.• Team Development and Mentorship: Participate in the hiring and career development of data professionals, including conducting technical assessments. Mentor data engineers across the organization, fostering skill growth and amplifying their impact.A day in the lifeA typical day for a Data Engineering Manager in the CS Data and AI team involves balancing strategic thinking with hands-on problem-solving. The team they lead solves real-world problems. The day begins with reviewing important and complex data initiatives, ensuring alignment with customer needs and business objectives. They dedicate time to translating complex business requirements into practical technological solutions, often addressing challenging data engineering problems. Working directly with their team, they design and enhance data systems, focusing on efficiency, security, and usability. Throughout the day, they lead and guide team members, fostering skill growth and encouraging them to tackle more substantial challenges. A significant aspect of their role involves ensuring data quality, system scalability to accommodate millions of customers, and the generation of actionable insights from vast amounts of information. By the end of the day, they have typically resolved complex technical issues, advanced important data projects, and conceived new ideas to improve how Amazon utilizes data to transform the customer experience.Benefits Summary:Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:1. Medical, Dental, and Vision Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamThe Data and AI team is a new function within Amazon Customer Service's Consumer Engagement Technology. We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy, and applying GenAI, computer vision, ontology, and/or natural language processing to customer service associate experiences and foundational technologies.BASIC QUALIFICATIONS- 5+ years of data engineering experience- 2+ years experience managing a technical team- Bachelor's degree in Computer Science, Engineering, or a quantitative field preferred ...

Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world!Passionate about building, owning and operating massively scalable systems? Want to make a billion-dollar impact? If so, we have an exciting opportunity for you.The AWS Managed Operations (MO) organization was founded in April 2023, with the objective to reduce operational load and toil through long-term engineering projects. MO is building the best-in-class engineering and operations team that will own the day-to-day operations for AWS Regions; improving the availability, reliability, latency, performance and efficiency to operate AWS regions.The AWS Managed Operations Data Science (MODS) Team is looking for a Senior Data Scientist to lead the research and thought leadership to drive our data and insight strategy for AWS. You will be expected to serve as a Full Stack Data Scientist. You will be responsible for driving data-driven transformation across the organization. In this role, you will be responsible for the end-to-end data science lifecycle, from data exploration and feature engineering and ETL to model development. You will leverage a diverse set of tools and technologies, including SQL, Python, Spark, Hugging Face and various machine learning frameworks, to tackle complex business problems and uncover valuable insights.Your product analytics research will provide direction on the technology strategy of the Managed Operations organization. Your Decision Science artifacts will provide insights that inform AWS' Operations and Site Reliability Engineering teams. You will work on ambiguous and complex business and research science problems at scale. You are and comfortable working with cross-functional teams and systems.Arlington, VA (HQ2)This role will sit in our new headquarters in Northern Virginia, where Amazon will invest $2.5 billion dollars, occupy 4 million square feet of energy efficient office space, and create at least 25,000 new full-time jobs. Our employees and the neighboring community will also benefit from the associated investments from the Commonwealth including infrastructure updates, public transportation improvements, and new access to Reagan National Airport.By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us.This position requires that the candidate selected be a U.S. citizen.10012Key job responsibilities- Collaboration & Cross Functional Relationships: Interact with business and software teams to understand their business requirements and operational processes- Data Exploration and Analysis: Conduct in-depth exploratory data analysis to understand the structure, quality, and patterns within complex datasets. Apply statistical and machine learning techniques to extract insights, identify trends, and uncover hidden relationships in the data.- Business Insights and Recommendations: Frame business problems into scalable solutions; translate complex data insights and model outputs into actionable recommendations that address the organization's strategic objectives.- Data Pipeline and Infrastructure: Contribute to the design and implementation of data pipelines, data lakes, and other data infrastructure components to support the organization's data-driven initiatives.- Metric Development and Monitoring: Define and develop advanced, customized metrics and key performance indicators (KPIs) that capture the nuances of the organization's strategic objectives and operational complexities. Continuously monitor and evaluate the performance of metrics- Prototype models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.- Documentation & Continuous Improvement: Create, enhance, and maintain technical documentationA day in the lifeWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About the teamThe MODS team is driven by a shared vision of achieving operational excellence through data analytics and machine learning. We provide actionable insights to allow our stakeholders to manage operational posture and operator experience and drive sustainable, safe, and efficient operations.We define, monitor, and predict metrics to provide recommendations on AWS operations that are diagnostic (why something happened), predictive (what will happen) and prescriptive (best course of action) in nature.We are a customer obsessed team driving lean operations in all of AWS through actionable insights and data strategies that drive process improvement.About the teamThe MODS team is driven by a shared vision of achieving operational excellence through data analytics and machine learning. We provide actionable insights to allow our stakeholders to manage operational posture and operator experience and drive sustainable, safe, and efficient operations.We define, monitor, and predict metrics to provide recommendations on AWS operations that are diagnostic (why something happened), predictive (what will happen) and prescriptive (best course of action) in nature.We are a customer obsessed team driving lean operations in all of AWS through actionable insights and data strategies that drive process improvement.BASIC QUALIFICATIONS- 6+ years of data scientist experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- Experience with statistical models e.g. multinomial logistic regression ...

Amazon’s Automated Inventory Management (AIM) team is looking for passionate, hard-working, and talented individuals to join our fast paced, stimulating environment to help invent the future of business ownership with Technology, and to translate our rich data into actionable insights.in AIM, we maximize business results by bringing granular planning predictability to an inherently uncertain business. We identify & address opportunities across the supply chain – from selection through inventory management. We recognize the role that selection, inventory, and managing constraints plays in creating a world-class customer experience - driving business growth and lowering our Cost to Serve. We continuously innovate and set new standards for supply chain excellence by constantly enriching the data, models, and our north star measurements through internal and external data sources.As a Data Scientist on the AIM team, you will design quantitative systems, forecasting models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build solutions to provide insights to business leaders at the most senior levels throughout the company.Key job responsibilitiesYou will partner with scientists, economists and engineers to propose, prototype, analyze, implement and deliver to production a variety of data science initiatives related to Amazon Business. You will develop a comprehensive understanding of Amazon Business (AB) supply chain processes and make use of rich data to make inferences about AB customer behavior. You will propose, analyze and communicate the results of experiments that measure causal effects of AB selection with great autonomy. You will define, create and present metrics that deepen our understanding of how customers interact with our offerings. You will creatively translate our collected data into initiatives with measurable impacts on customer satisfaction and AB growth. You will define team data science processes and mentor your colleagues in the art of data science. You will articulate the results of your model in business language to stakeholders. BASIC QUALIFICATIONS- 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience- Experience with statistical models e.g. multinomial logistic regression ...