Data Science

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the RoleData is critical to the algorithms that power the recommendation, search, and ranking systems. It's also critical to making decisions, especially working on systems that are themselves data-driven. As a Senior Data Scientist on the CDML team, you'll be responsible for helping drive improvements to the machine learning systems as well as analytics to drive decision-making.While there is a team of Applied Scientists building and shipping the algorithms themselves, data science can help improve these systems directly. In this role, you can identify and build new signals to input into the models. We're also working on the value model that the algorithm optimizes, and your input will be critical to understanding the tradeoffs and balancing multiple objectives in a scientific way.We also still have big unanswered analytics questions to solve. How often do viewers just want to get to the content they already know they want to watch, and when are they open to exploring new channels? These are the sorts of questions you'll be tackling.You Will- Inform product strategies by defining and updating core metrics for each initiative- Estimate the opportunity sizing of new features the team could take on- Identify and build new signals to incorporate into the algorithms driving recommendations, search, and feed ranking at Twitch- Identify metric tradeoff ratios that help inform value model choices, long-term impact from early-growth-funnel users, and other product decisions- Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders - Design A/B experiments to drive product direction with iterative innovation and measurement- Work hand-in-hand with business, product, engineering, and design to proactively influence and inform teammates' decisions throughout the product life cycle- Distill ambiguous product or business questions, find clever ways to answer them, and to quantify the uncertaintyPerks- Medical, Dental, Vision & Disability Insurance- 401(k)- Maternity & Parental Leave- Flexible PTO- Amazon Employee DiscountBASIC QUALIFICATIONS- BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience- 5+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Expert SQL skills and proficiency in Python/R- Experience using data to create insight, drive business decisions and influence leadership ...

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 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.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. This position requires that the candidate selected be a U.S. citizen.BASIC QUALIFICATIONS- 3+ 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- Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.- Master's Degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with 2+ years' experience in Data Science or related Science discipline, OR, Bachelor's Degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with 5+ years' experience in Data Science or related Science discipline ...

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/About Us:Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.About the RoleData is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision making in all of our operations. As a data scientist at Twitch, you will be on the ground floor with your team, shaping the way product performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high quality, high velocity decisions for your team. As part of the Community Health team at Twitch, you will work directly with product teams to support the safety and well-being of our creators, viewers, and moderators. You will help shape the way we build operational processes, delivering formative insights about the health and safety of our communities, measuring the impact of product improvements and policy changes, and charting a course for future product design and strategy. In a typical week or month, you will contribute to instrumentation, dashboard/report-building, metrics reviews, and ad hoc analysis. You will report to the Data Science Manager for Community Health and Customer Trust and your work will pave the way for high-quality, high-velocity product development that will lead to safer, more rewarding community interactions across the platform. You Will- Become a domain expert in the design of product features to support safer and more rewarding interactions within online communities.- Distill ambiguous product or strategy questions, find clever ways to answer them, and to measure the uncertainty; translate product and strategy questions into metrics, and work with data engineers to dashboard these metrics.- Design and evaluate A/B tests and experiments to measure the effectiveness of front-end product improvements and algorithmic machine learning systems.- Produce ad-hoc reports and insights that help teams move forward with time-sensitive product and strategy decisions.- Maintain a culture of high-quality output and engagement with team members; communicate technical information to technical and non-technical partners; manage ad hoc requests and unexpected obstacles.Perks- Medical, Dental, Vision & Disability Insurance- 401(k)- Maternity & Parental Leave- Flexible PTO- Amazon Employee DiscountBASIC QUALIFICATIONS- BA/BS in Analytics, Data Science, Computer Science, Mathematics, or equivalent industry experience- 3+ years of experience as a data scientist or data analyst in a high velocity, data-driven environment- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Expert SQL skills and proficiency in Python/R- Experience using data to create insight, drive business decisions and influence leadership ...

The Jr. Data Scientist role is a unique employment opportunity for students seeking to gain on-the-job data science & analytics experience and receive excellent mentoring while completing their education. Jr. Data Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Jr. Data Science Mentor, Jr. Data Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of the Jr. Data Scientist Program, the opportunity for full-time employment may be available at an Amazon corporate site. The Jr. Data Scientist role is part of the Jr Developer Program, a unique internship program in several respects: • We offer employment year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time data scientists, applied scientists and business intelligence engineers are willing and able to mentor exceptional student data scientists, applied scientists and BIEs. • Jr. Data Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” data science and analytics experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities- Create pipelines for reports, analyze massive-scale data, leverage knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages like SQL, Excel, and others, to analyze and translate the data into meaningful insights; make sense of the results and be able to explain what it all means to key stakeholders like scientists, product managers, and engineers.- Analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. - Use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.BASIC QUALIFICATIONS- Currently enrolled in an accredited college or university Master's program. - Majoring in Data Science, Computer Science, or a related STEM discipline.- Graduating in June 2027 and beyond. - Ability to work year-round: part-time during the school year and full-time during the summer.- This role is not offered as remote or hybrid and working hours must be conducted in our corporate office in San Diego.- Living within commutable distance to San Diego, CA. ...

The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create?The Team: How often have you had an opportunity to be a founding member of a team that is solving a significant problem through innovative technology? Would you like to know more about how we are envisioning the use of data analytics, machine learning, AI and linear programming to solve these problems? If this sounds intriguing, then we’d like to talk to you about a role on a new Amazon team that's tackling a set of problems requiring significant innovation and scaling.We are seeking a Data Engineer with strong analytical, communication and project management skills to join our team. Working closely with business stakeholders, software development engineers and scientist colleagues, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device to provide customer great products and keep the data secure. You will work with the most complicated data environment, employ right architecture to handle big data and support various analytics use cases, including business reporting, production data pipeline, machine learning, optimization models, statistical models, simulation, etc. Your work will have a direct impact on the day-to-day decision making in the Amazon Devices Sales & Operations Technology, and end customers. You are an individual with outstanding analytical abilities, excellent communication skills, good business understanding, and technically savvy. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can credibly interface between technical teams and business stakeholders.Key job responsibilities1. Design, implement and support an analytical data infrastructure using AWS technologies2. Build robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift etc.3. Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.3. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.4. Lead architecture design and implementation of next generation BI solution5. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.About the teamOur team's north star is to empower the device software and services organization, along with its business partners, to make accurate and well-contextualized decisions quickly, helping them focus on delivering the best possible device customer experiences. We achieve this by integrating business intelligence and machine learning into human and system decision flows through scalable, configurable, and reusable foundational services.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEIn this role, you'll employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) techniques to detect and predict fraudulent activities, enhance fraud investigation capabilities, and develop advanced fraud protection and defense mechanisms. You'll leverage these technologies to analyze complex patterns in transaction data, identify anomalies, and create predictive models that can anticipate potential fraud before it occurs. Your work will be crucial in safeguarding the company's assets, protecting customers from financial harm, and maintaining the integrity of our systems. You'll translate intricate fraud patterns into actionable insights, enabling rapid response to emerging threats and informing critical business decisions related to risk management. You'll operate in an agile environment in which we own and collaborate on the life cycle of research, design, and model development of relevant projects.As an Applied Scientist, you will...- Protect Audible’s customers and content creators against the onslaught of AI-generated fraud- Develop Amazon-scale data engineering & modeling pipelines- Imagine and invent before the business asks, and create groundbreaking fraud detection and mitigation solutions using cutting-edge approaches- Work closely with other data scientists, ML experts, engineers as well as business across the globe, and on cross-disciplinary efforts with other scientists within Amazon- Contribute to the growth of the Audible Data Science team by sharing your ideas, intellectual property and learning from othersABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field +5 yrs relevant experience; or PhD- Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages- Experience in algorithm development- Depth and breadth in state-of-the-art machine learning technologies- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms- Big Data Engineering with Spark / AWS EMR & Glue ...

The Seller Insights and Planning organization’s mission is to make FBA the best place for sellers to both thrive and delight customers. We achieve this through identifying opportunities to address seller pain points, optimizing our services to reduce seller effort, eliminating the defects that lead to seller costs, and orchestrating initiatives across business, technology and operations that simplify the seller experience.This newly created role is focused on establishing and leading a team, within the Seller Insights and Planning organization, with a mission to make standardized FBA performance data available at any granularity to business, product, and engineering users across stores teams worldwide. This centralized platform will serve as a source of truth for evaluating business performance, determining business insights, and making recommendations to senior leadership. In this role, you'll lead a team through maintaining and establishing a data lake that standardizes how the Worldwide FBA organization evaluates business performance. With three customer user types, API, SQL, and non SQL, youll be responsible for delivering a platform that exceeds targets for availability, performance, and accuracy. In this manager role, youll directly lead a team of one data data engineer, one BIE, and five business analysts and indirectly lead driving engineering collaboration efforts across engineering teams distributed internationally. Key job responsibilitiesBuilding and maintaining a widely accessible data lake and datasets that serve as the centralized metric platform for the Worldwide FBA business by using software engineering best practices, data storage principles, and operational excellence best practices Establishing and achieving targets for dataset availability, performance, and accuracy Leading direct and indirect teams through building datasets that analysts and scientists use to generate actionable insights. Guiding and influencing data engineering, business intelligence, and business analyst teams across Worldwide Stores into how to present and access data across pipelines Providing thought-leadership to Amazon leadership and business partners, delivering solutions to strategic problemsCommunicating performance against goals and objectives through narratives and business reviewsManaging a data engineering, business intelligence, and business analyst team of up to 10 headcountBASIC QUALIFICATIONS- Proficiency with SQL, Excel, and at least one programming language such as Python, Scala, or R- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms- Experience leading and hiring a team of data engineers, business intelligence engineers, and business analysts- Bachelor’s degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience- 8+ years of experience in analytics, data engineering, market research, or related field- 8+ years experience owning/driving roadmap strategy and definition- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders ...

Amazon.com’s Buyer Risk Prevention's (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon. Key job responsibilitiesAs an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building cutting edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Invent, implement, and deploy state of the art machine learning algorithms and systems - Build prototypes and explore conceptually new solutions - Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams - Take ownership of how ML solutions impact Amazon resources and Customer experience - Develop efficient data querying infrastructure for both offline and online use cases - Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes - Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. - Research and implement novel machine learning and statistical approaches - Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentationsPlease visit https://www.amazon.science for more informationBASIC QUALIFICATIONS- 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 ...

Recruiting the right candidates across all of Amazon is critical to our ability to innovate and build on behalf of our customers. The Data Engineer I role is an integral part of the team responsible for delivering accurate, secure, and timely recruiting data and metrics to our customers across Amazon.The ideal candidate is passionate about data and analytics, with a strong foundation in data engineering. They are eager to learn and grow, and thrive in a dynamic, fast-paced environment. The Data Engineer I will work closely with the wider team to architect, develop, and maintain scalable data infrastructure and data pipelines.Key job responsibilities- Design, implement, and support secure access to large datasets.- Architect, develop, and maintain scalable data infrastructure and data pipelines.- Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies.- Design and implement ETL pipelines and BI solutions.- Collaborate with business owners, developers, and BI Engineers to explore new data sources and deliver insights.- Stay up to date with advancements in big data technologies and contribute to pilot projects.- Proactively identify and resolve data-related issues, contributing to increased autonomy and productivity.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

Note: By applying to this position, your application will be considered for: Arlington, VA; and Seattle, WA.Are you a developer who has hands-on experience with building cloud-native applications? Would you like to work with our customers to help them architect, develop and re-engineer applications to fully leverage the AWS Cloud? Do you like to work on a variety of cutting edge, business-critical projects at the forefront of application development and cloud technology adoption?In order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications.You will join as part of the AWS Professional Services (ProServe Associate to Consultant (A2C), which focuses on the accelerated career development of university graduates and early career professionals. Our team members work with enterprise customers locally, regionally and domestically. As such, this role has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract.Key job responsibilitiesIn order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications. Amazon Web Services is looking for highly talented hands-on technical developer to help accelerate our growing Professional Services business. This is an excellent opportunity to join Amazon’s world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies. We are looking for hands-on architects/developers who are passionate about:* Helping customers architect scalable, highly available application solutions that leverage AWS services* Architecting and developing customer applications to be cloud optimized* Working as a technical specialist alongside customer business, development and infrastructure teams* Providing deep software development knowledge with respect cloud architecture, design patterns and programming* Advising and implementing AWS best practices* Working as both an infrastructure and application development specialist* Implementing DevOps practices such as infrastructure as code, continuous integration and automated deploymentAbout the teamAWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.You will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams. Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed. Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS* Bachelor’s degree or higher in Computer Science, Engineering, Mathematics or a related field with a conferral date within May 2023 to May 2025 * 1+ years of hands-on experience of programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++, Node.js, or similar object-oriented language. ...

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 ...

The Device, Digital & Alexa Support (D2AS) team seeks a Data Scientist to drive our hiring process improvements. In this role, you will:- Lead modeling projects to enhance our hiring pipeline efficiency and candidate experience.- Develop data-driven insights to inform product decisions.- Design and conduct statistical experiments to uncover hiring optimization opportunities.- Create user-friendly analytical tools for our product team.The ideal candidate will have:- Strong leadership and project management skills.- Experience in data requirements gathering and statistical methodology development. - Ability to balance technical expertise with business acumen - Creativity in problem-solving, backed by statistical evidence.Your work will directly impact our ability to attract and retain top talent, ultimately benefiting our customers through improved support services. Join us in simplifying and enhancing our hiring process with data-driven solutions.Key job responsibilities- Design and run experiments, research new algorithms, and find new ways to improve hiring analytics to optimize the candidate and associate experience. - Research machine learning algorithms and implement by tailoring to business needs and test on large datasets. - Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. - Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality. - Foster culture of continuous engineering improvement through mentoring, feedback, and metrics. - Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce). - Providing analytical network support to improve quality and standard work results.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 environment.If 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 teamWe at D2AS strive to make digital experiences effortless for customers. Our goal is to anticipate, evaluate, prevent, and eliminate any effort required from customers. We achieve this by setting the strategy for digital support and accelerating the delivery of seamless support experiences across Amazon's digital products.Our team combines strategic thinking, technology expertise, and customer experience best practices. This ensures customers can easily get the most value from Amazon's digital offerings. We focus on providing the right support at the right time, tailored to each customer's needs. By eliminating friction and making support effortless, we enhance the overall customer experience.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 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 ...

Do you want to help define the future of Generative AI (GenAI) on AWS by leveraging your deep domain knowledge in applied sciences? You will be part of the core worldwide Generative AI models team, responsible for integrating your applied science expertise with customer engagements to deliver GenAI solutions on AWS. You will collaborate closely with customers, 3rd party model providers, and internal teams to understand their GenAI challenges and provide insights that meet their specific needs within the GenAI domain.The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeamKey job responsibilitiesAs an Applied Scientist Specialist, Gen AI you will play a crucial role in expanding the third party models portfolio on AWS by facilitating the seamless integration and benchmarking of new 3rd party models. You will leverage your deep applied science knowledge to engage with customers and providers at a high level of technical depth, providing insights and solutions tailored to their GenAI requirements. Additionally, you will advocate for and implement well-architected system designs for GenAI applications, ensuring scalability, reliability, and performance.You will continuously update your knowledge of the GenAI ecosystem, AWS services, and best practices through research and solution building, maintaining a competitive edge and high technical bar. Your responsibilities will include collaborating with customers and providers, engaging at a high level of technical depth to understand and address their GenAI challenges, and advocating for and implementing scientifically rigorous system designs for GenAI applications.This role requires a strong background in applied sciences, coupled with a deep understanding of GenAI models, frameworks, and applications. You should be passionate about staying ahead of industry trends and technological advancements, and be willing to contribute to the team's research efforts.A day in the life*Sales, Marketing and Global Services (SMGS)*AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. (June 2024 Update - Due to the recent SMGS re-org, all reqs within the legacy SMGS cost centers will be exempt temporarily from the SMGS flywheel statement until the org changes are completed and new flywheel statement(s) are implemented.)Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the 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.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 (gender 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 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.Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

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.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 ...

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you!At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions.Amazon Translations Services (TS) is seeking a Senior Applied Scientist to be based in our Seattle office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce.Key job responsibilities* Lead and innovate in applying advanced NLP and LLM techniques to solve complex language translation challenges in e-commerce, driving product-level improvements for our international marketplaces.* Architect and implement novel, scalable machine learning solutions that enhance translation quality evaluation and improve translation pipeline efficiency across multiple teams and systems.* Spearhead cross-functional collaborations to define strategic project requirements, establish organization-wide success metrics, and deliver high-impact solutions aligning with broader business objectives.* Drive comprehensive data analysis to uncover non-obvious insights in multilingual data, relaying findings into actionable strategies that influence product roadmaps and capabilities for language technologies.* Pioneer and implement cutting-edge modeling techniques for machine translation quality assessment and pipeline optimization, leading the team's scientific agenda. Invent new methodologies when existing approaches fall short, advancing the state-of-the-art.* Serve as a recognized expert in LLM applications for e-commerce translation, communicating complex concepts to diverse stakeholders including senior leadership. Influence organization-wide adoption of innovative approaches in language translation technologies.* Actively mentor team members, elevating scientific capabilities and fostering a culture of innovation and rigorous inquiry in machine translation and evaluation.About the teamWe are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch.Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services.Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.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 Bedrock AI Data Team in Amazon Web Services (AWS) is looking for a Language Engineer to collaborate in developing solutions for natural language data collections. This position is an opportunity to apply your expertise in a challenging but supportive environment.The mission of the Bedrock AI Data Team is to engineer the datasets critical to the success of AWS’s Bedrock services. From human evaluations to Responsible AI safeguards to Retrieval-Augmented Generation and beyond, these products make Generative AI enterprise-ready and safe for users, impacting millions of people every day. We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams. We are customer obsessed and committed to delivering results with the highest quality and integrity.As a Language Engineer, you will start by diving deep into a couple of critical projects for Bedrock services to drive these projects forward. You will collaborate with fellow language data scientists, program managers, as well as stakeholders in science, engineering, and product teams to understand the role data plays in developing models that meet customer needs. You will analyze, follow, and improve processes for collecting and annotating LLM inputs and outputs, assessing data quality, and automating where appropriate.You will then expand your scope by using the principles of data-centric AI to understand the role our data plays with regard to model performance specifically, as well as the larger ML pipeline. You will apply state-of-the-art Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other language data scientists and scientists to design and implement principled strategies for data optimization.Key job responsibilities- Source, validate, and deliver high-quality language artifacts and linguistic data- Collaborate with stakeholders to design data collection and development efforts- Oversee the progress and quality of several data collection and annotation projects at a time- Advocate for strict adherence to data collection guidelines and quality thresholds- Extend existing data collection, annotation, and quality assurance efforts to support feature and language expansion- Innovate on data collection methodologies, guidelines, quality metrics to support new requests- Automate repetitive workflows and improve existing processesAbout the teamThe Bedrock AI Data Team at AWS is responsible for delivering high-quality annotated data and a variety of language artifacts to ensure the best performance of different AWS LLM services. These Generative AI services enable customers to readily add intelligence to their business operations and AI applications to drive positive outcomes.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.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the 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. 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 (gender 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 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. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONSMaster’s degree in Linguistics, Computational Linguistics, or other language or data-related disciplines2+ years experience with human data collection studiesProficiency in PythonExperience with language data analysisExperience with command-line environments (e.g. Unix) and version control (e.g. Git)Experience in developing and evaluating data annotation metrics ...

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.Key job responsibilitiesSpecifically, the Research Scientist will: • Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.• Clean, analyze and select speech/language/other data to achieve goals• Build and test models that elevate the customer experience • Collaborate with colleagues from science, engineering and business backgrounds• Present proposals and results in a clear manner backed by data and coupled with actionable conclusions• Work with engineers to develop efficient data querying infrastructure for both offline and online use casesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of quantitative field research experience- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products- Experience in Python, Perl, or another scripting language- Experience with various machine learning techniques and parameters that affect their performance- Experience analyzing both experimental and observational data sets ...

AWS Hardware Engineering is looking for an experienced, innovative Data Engineer to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning.As 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 are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecting advanced data ecosystem. You are experienced in building efficient and scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases/applications.In this role, you can:Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.This role falls within the broader AWS Infrastructure Services (AIS) organization, which 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 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.About the teamAmazon 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.AWS values diverse experiences. Even if you do not meet all 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.We 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.Here 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.We’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- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience- 3+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools- 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.- 3+ years of experience in scripting languages like Python etc. ...

The Private Brands team is looking for an Applied Scientist to join the team in building science solutions at scale. Our team applies Optimization, Machine Learning, Statistics, Causal Inference, and Econometrics/Economics to derive actionable insights. We are an interdisciplinary team of Scientists, Engineers, and Economists and primary focus on building optimization and machine learning solutions in supply chain domain with specific focus on Amazon private brand products.Key job responsibilitiesYou will work with business leaders, scientists, and economists to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of highly scalable optimization solutions and ML models.This is a unique, high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and economists. As a senior scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.We are particularly interested in candidates with academic and/or practical background in Operations Research and Machine Learning. Experience in applying Operations Research and/or ML to supply chain problems is a plus.BASIC QUALIFICATIONS- 5+ 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- Experience with conducting research in a corporate setting ...