Data Science

Are you passionate about using science to build disruptive solutions that challenge the status-quo? Do you want to fundamentally redefine talent management and development for one of the largest and most complex workforce in the world? If you are, we want to talk to you.Key job responsibilitiesWe are looking for a Data Scientist generalist who can work with senior leadership and also partner with technical experts to deliver deliver best-in-class data science solutions for Amazon Talent. The Data Scientist will be comfortable leading statistical and ML projects from conception to production, including understanding business needs, transforming and exploring data, building and validating ML models, and deploying completed models on the AWS cloud. Finally, this person will be an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication.A day in the lifeIn this role you will closely partner with Amazon WW Stores, Finance, and HR leadership teams, and with various engineering, data, and science teams across the company. Your goal will be to discover best in class approaches to help better understand and forecast talent movement and enable your customers to derive actionable insights to inform talent strategies. You will develop scientific solutions grounded in rigorous experimentation and measurement to support the growth and mobilization of our workforce, and strategic organizational planning to ensure our talent is optimally positioned to capitalize on emerging business opportunities.About the teamThe Measurement & Insights team serves as the analytical backbone of Amazon Stores Talent Management, ensuring that Amazon Stores uses state-of-the-art of data-driven talent optimization in the rapidly evolving retail and e-commerce landscape. We focus on providing scientific insights to solve durable customer problems relating to talent optimization, organizational structure, and operating mechanisms. Our interdisciplinary science team with expertise in psychometric measurement, experimental and quasi-experimental research design, statistics, and machine learning, guide the metric design and scientific approaches, uncover blind spots, and provide proactive insights to address potential challenges and opportunities.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- 2+ 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 ...

Working at Amazon RoboticsAre 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 that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. 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.Position OverviewThe Amazon Robotics (AR) Software Research and Science team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire AR system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.We are seeking an enthusiastic Data Scientist to design and implement state-of-the-art solutions for never-before-solved problems. The DS will collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience. They will partner with technology and product leaders to solve business problems using scientific approaches. They will build new tools and invent business insights that surprise and delight our customers. They will work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes. They will work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors. They will engage with software development teams and warehouse design engineers to drive the evolution of the AR system, as well as the simulation engine that supports our work.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.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 Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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!BASIC QUALIFICATIONS- 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience- 2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience- Experience applying theoretical models in an applied environment ...

As a Senior Data Scientist on our team, you will leverage advanced analytics and machine learning to protect our cloud infrastructure from security threats. You'll develop and deploy sophisticated anomaly detection models, predictive algorithms, and real-time analysis systems that identify and automate the mitigation of cyber threats across Amazon's infrastructure. Your expertise in statistical analysis, machine learning, and big data processing will be crucial in building scalable security solutions.You'll collaborate with software engineers, security engineers, and fellow data scientists to:- Analyze large-scale security data using statistical methods and data mining techniques- Create automated systems for real-time pattern recognition and risk assessment- Build data pipelines and ETL processes to handle massive security datasets- Translate complex analytical findings into actionable security insightsWe use the full power of AWS technologies, including Amazon SageMaker, EMR, and other ML/AI services to protect every AWS customer from security threats. Experience with Python and a strong background in statistical analysis and machine learning are essential.We're looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers. We want someone who will help us amplify the positive & inclusive team culture we've been building.We understand that life is dynamic and we have a flexible work environment that enables individuals to adjust their work schedule to accommodate personal needs. Our team is distributed, though most of the team is located in Maryland and Virginia. We generally keep core business hours of 10:00 AM EST - 3:00 PM EST, while allowing flexibility as needed. At AWS Security, it’s not about clocking hours, it’s about delivering results.On-Call ResponsibilityThis position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice.Key job responsibilities- Running experiments to assess potential risk of security responses.- Expanding our existing LLM prompts to detect new customer signals.- Analyzing post mortems to understand what data signals could have prevented the occurenceAbout the teamDiverse ExperiencesAmazon Security 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 Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & 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, training, 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.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- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Where will Amazon's growth come from in the next year? What about over the next five? Which product lines are poised to quintuple in size? Are we investing enough in our infrastructure, or too much? How do our customers react to changes in prices, product selection, or delivery times? These are among the most important questions at Amazon today. The Topline Forecasting team in the Supply Chain Optimization Technologies (SCOT) group is looking for innovative, passionate and results-oriented Data Scientists to answer these questions. You will have an opportunity to own the long-run outlook for Amazon’s global consumer business and shape strategic decisions at the highest level. The successful candidate will be able to formalize problem definitions from ambiguous requirements, build models using Amazon’s world-class data systems, and develop cutting-edge solutions for non-standard problems.Key job responsibilities- Develop new forecasting models or improve existing approaches using scalable techniques.- Extract data for analysis and model development from large, complex datasets to explain demand trends.- Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.- Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.- Drive innovation and best practices in applied research across the Amazon research science community. 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- Bachelor's degree ...

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 ROLEAudible's insights team leverages data to create value for our company and customers. We're seeking a Data Science Lead for our marketing and product measurement science team, to help us understand the return on investment (ROI) of our paid media and brand investments.As a Data Science Lead, you’ll manage a team of scientists working in the media measurement space. Your primary focus will be guiding scientific approach in developing and deploying advanced marketing measurement models (e.g., lifetime value, media mix). You will also lead Audible's scaled experimentation program, maintaining scientific integrity in global paid media experiments and guiding meta-analytical work to assess program health. Additionally, you will serve as the primary scientific contact for third-party media partners (Meta, Google), collaborating with them on new measurement approaches. You'll work with Audible marketers to translate sophisticated scientific methodologies into actionable business strategies, ultimately driving more effective marketing investments.ABOUT YOUAs a Data Science Lead, you will provide technical leadership in marketing measurement, design scalable model solutions, collaborate across scientific disciplines, communicate complex concepts clearly, and mentor team members to drive collective success.You have deep technical expertise across statistical modeling, machine learning, causal inference, and experimental design. You demonstrate a strong understanding of experimental design and evaluation. You are an expert in statistical modeling techniques. You have deep experience solving marketing-related problems, such as customer acquisition, retention, and ROI.You possess a strong ownership mindset and the ability to guide a technical team with minimal oversight. Your innovative problem-solving skills thrive in ambiguous environments, and you excel at translating complex scientific concepts into actionable insights. Outstanding business acumen, coupled with the ability to manage multiple projects simultaneously, defines your professional approach.You are committed to building a positive team culture, reliably delivering against commitments, and have a genuine passion for mentoring and developing scientific talent. You are adaptable across different scientific approaches and comfortable collaborating with cross-disciplinary scientific teams.As a Data Science Lead, you will...- Be a technical leader of other scientists, with substantial scope, impact, and visibility in the marketing measurement space- Understand complex use cases across the business and design scalable, efficient, automated model solutions, including developing, delivering, and improving various marketing measurement models- Collaborate with economists, applied scientists, and other data scientists on the right model specification(s) to serve business needs in the context of paid media measurement- Communicate clearly with senior audiences, translating complex scientific concepts into simplified, relevant outputs that can be quickly understood and actioned by both technical and non-technical colleagues- Mentor and grow scientists in your team and across AudibleABOUT 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- 3+ years managing a team of scientists or engineers, with a proven track record of hiring and developing junior team members- Master’s degree in relevant discipline and 5+ years of relevant professional experience (or equivalent)- Hands-on experience with marketing measurement models, including experience with articulating modeling trade-offs to business partners- Hands-on experience in designing and evaluating experiments, including experience with formal meta-analytical approaches for evaluating programs of experimentation- Hands-on experience with successfully putting marketing models into production- Fluency in Python and SQL- Experience influencing and delivering on a science roadmap ...

Amazon Prime’s Science organization leads the Research & Development towards innovation for Amazon Prime. Amazon Prime is the backbone of Amazon’s consumer business and aspires to be the world’s most engaging, satisfying, and loved membership program, driving growth and profitability. The program serves over 200 million members across 25 countries and is key to Amazon’s customer growth and engagement. Prime Science innovates in Artificial Intelligence and Economics, to develop algorithms and systems for automated marketing, personalization, targeting, and decisioning. To lead Prime’s growth and impact through science and innovation, we are seeking a Principal Applied Scientist, Prime Science, to create and deliver Machine Learning innovation both for customer facing and internal solutions. To be successful in this role you should be recognized as an industry expert who has experience defining a long-term science vision, driven fundamentally from the needs of customers, translating that direction into specific plans for research scientists, applied scientists, engineering, and product teams. This is a role that combines science leadership, organizational ability, technical expertise, product focus, and business understanding.Prime is committed to diversity, equity, and inclusion and recognizes that our ability to serve our members is contingent on having diverse backgrounds, ideas, and ways of working on our team. This leader plays a key role as a member of the Prime worldwide leadership team to set the right organizational vision, standards, and mechanisms to ensure Prime is the best place for top talent to thrive. Key job responsibilities- Own and drive the most complex and strategic solutions across the business; responsible for many billions in revenue.- Act as a thought leader and forward thinker, anticipating obstacles to success and helping avoid common failure modes.- Research, build, and deploy innovative machine learning solutions; working across all technical disciplines.- Partner with science, engineering, and product leaders across the business to identify and deliver innovative machine solutions; identify new opportunities, define the vision and execute solutions that continually delight customers.- Hire, mentor, and guide senior scientists; partner with engineering leaders to build efficient and scalable solutions.BASIC QUALIFICATIONS- Ph.D. in Machine Learning, Computer Science, or related disciplines.- 10+ years of post-Ph.D. experience, delivering highly effect machine learning solutions that solve real-world problems at a very large scale.- Expert in machine learning, statistics, and experiment design.- Expert in taking machine learning solutions into production at a large scale.- Experience with Large Language Models and Generative AI.- Experience hiring and building teams of applied scientists.- Proven communication and collaboration skills that enable you to earn trust at all levels of a large organization; ability to influence ...

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 ...

The Applied 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 conversational AI systems based on large pretrained language models, that can understand and communicate with customers in a natural and contextually appropriate manner. This involves tackling complex problems 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 responsibilitiesKey job responsibilities1. Lead the research and development of LLM-based chatbots and conversational AI systems for customer service applications.2. Design and 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 data 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.7. Collaborate with internal and external research communities, participate in conferences and publications, and contribute to the advancement of the field.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 teamAbout 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- 3+ years of building machine learning models or developing algorithms for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) ...

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. ...

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 ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application 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 ...

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 Data Science Manager in Natural Language Processing (NLP) within the Customer Engagement Technology, 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 pre-trained language models into conversational Artificial Intelligence (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 responsibilities- Lead a data science team to accelerate the development and deployment of chatbot scaling. This team will play a pivotal role in optimizing Human-in-the-Loop (HITL) tasks.- Implement state-of-the-art Natural Language Processing (NLP) and Machine Learning (ML) models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment.- Collaborate with cross-functional teams, including applied scientists, software engineers, and product managers, to integrate Large Language Model (LLM)-based solutions into Amazon's customer service platforms.- Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.- Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.- 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamJoin our team of scientists and engineers who develop and deploy Large Language Model (LLM)-based solutions 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 building quantitative solutions as a scientist or science manager experience- 2+ years of scientists or machine learning engineers management experience- Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Knowledge of Python or R or other scripting language- Experience working with scientists, economists, software developers, or product managers- 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 ...

Are you a passionate Data Scientist (DS) ready to shape the future of digital content creation? At Amazon, we're building Earth's most desired destination for creators to monetize their unique skills, inspire the next generation of customers, and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazon's ecosystem. Our team owns the entire Creator product suite, ensuring a cohesive experience, optimizing compensation structures, and launching features that help creators achieve both monetary and non-monetary goals.Key job responsibilitiesAs a DS in our team you will:* Collaborate with cross-functional leaders from business development, marketing, product, and engineering to implement measurable, data-driven strategies * Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and implementation.* Perform large-scale experimentation to identify hidden relationships between variables in large datasets* Implement statistical, machine learning, or other mathematical methodologies to solve specific business problems* Coordinate research and analysis activities using unstructured and structured data and use programming to clean and organize data* Foster a culture of continuous learning and innovationThe successful candidate is self-driven and thrives in a fast-paced, innovative environment. You have deep expertise in accessing, manipulating, analyzing, and modeling large datasets across various platforms. You possess strong business acumen and excellent communication skills, and use them to effectively translate business requirements into scientific solutions. You stay current with emerging technologies and implement them strategically. About the teamOur team is dedicated to supporting new members. We have a broad mix of domain specialists (Economics, Data Science, Applied Science), experience levels and tenures, and we’re building an environment that celebrates knowledge creation and 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- Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 2+ years of machine learning, statistical modeling, data mining, and analytics techniques experience- 2+ 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 in communicating technically, at a level appropriate for the audience- 2+ years of data scientist experience ...

Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?ABOUT RINGWe started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone? What if you could be there without needing to actually, you know, be there? After many late nights and endless tinkering, our first Video Doorbell was born.That invention has grown into over a decade of groundbreaking products and next-level features. And at the core of all that, everything we’ve done and everything we’ve yet to build, is that same inventor's spirit and drive to bridge the distance between people and what they care about. Whatever it is, at Ring we’re committed to helping you be there for it.(https://www.ring.com)ABOUT THE ROLEThe Senior Data Scientist within Ring Data Science and Engineering plays a pivotal role in shaping how we carry the voice of our customers. We strive to understand their behaviors and preferences in order to provide them with the best experience connecting with the places, people and things that matter to them. This role will build scalable solutions and models to support our business functions (Subscriptions, Product, Customer Service). By leveraging a range of methods including statistical analysis and machine learning, you will explain, quantify, predict and prescribe in support of informing critical business decisions. You will translate business goals into agile, insightful analytics. You will seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders.Key job responsibilities- Drive shared understanding among business, engineering, and science teams of domain knowledge of processes, system structures, and business requirements.- Apply domain knowledge to identify product roadmap, growth, engagement, and retention opportunities; quantify impact; and inform prioritization.- Advocate technical solutions to business stakeholders, engineering teams, and executive level decision makers.- Lead development and validation of state-of-the-art technical designs (data pipelines, data models, causal inference, predictive models, data insights/visualizations, etc)- Contribute to the hiring and development of others- Communicate strategy, progress, and impact to senior leadershipA day in the lifeTranslate/Interpret • Complex and interrelated datasets describing customer behavior, messaging, content, product design and financial impact.Measure/Quantify/Expand • Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance. • Analyze historical data to identify trends and support decision making. • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. • Provide requirements to develop analytic capabilities, platforms, and pipelines. • Apply statistical or machine learning knowledge to specific business problems and data.Explore/Enlighten • Formalize assumptions about how users are expected to behave, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed. • Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes. • Make decisions and recommendations. • Build decision-making models and propose solution for the business problem you defined. • Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication. • Utilize code (Python/R/SQL) for data analyzing and modeling algorithms.BASIC QUALIFICATIONS- Bachelor's degree- 4+ 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- 5+ years of hands-on experience in modeling and analysis, and in deploying machine learning / deep learning models in production. ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Amazon Q in Connect (QiC) provides customer service agents with recommendations for what to say and do (including step-by-step guides) to resolve customer issues faster, improving customer satisfaction and reducing costs. QiC reduces agent handle times and will improve resolution rates through its ability to understand complex customer objectives, synthesize relevant information from diverse sources (e.g., customer data, contact transcripts, knowledge articles), and generate human-like responses or take actions personalized to an end-customer’s situation. QiC will generate usage data (e.g., what actions that agents do or do not take on QiC responses) that enables QiC to learn and improve with an “agent in the loop,” increasing QiC’s accuracy and ability to automate more contact types. Key job responsibilitiesWe are looking for an experienced Data Scientist with a strong machine learning background to lead the development of frameworks that deepen understanding of agent assistance and improve automation in Call Center environments.Bringing to bear a mixture of model development and software engineering skills, you will lead the development and deployment and of several of Q in Connect's core assistant models, use data-driven methods to answer business questions, and deliver insights to deepen understanding of Amazon Connect agents and end-customers.About the teamAbout AWSDiverse ExperiencesAWS 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. 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. This team is part of AWS Solutions: AWS SolutionsAs part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.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- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...

Do you want to be part of a team that's revolutionizing Amazon's fulfillment and packaging technology? Can you commit to optimizing systems that process tens-of-millions of customer packages daily with the lowest cost to serve and a defect-free customer experience? Do you have a passion for solving complex science challenges and building a sustainable e-commerce experience?Your Statistical skills can help make that a reality on the Mechatronics and Sustainable Packaging team. We are seeking a Principal Statistician/Applied Scientist who will join a team of experts in the field of Statistics, Operational Research, Machine Learning (ML), Computer Vision and Generative AI to work together to break new ground in the world of automated packaging solutions. You'll work in a collaborative environment where you can pursue ambitious research with many peta-bytes of data, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the packaging experience of Amazon customers in the fulfillment technology space. If you are interested in robotics, computer vision, machine learning, statistics, big data, and building scalable solutions, this role is for you.The successful candidate will have a PhD in Statistics, Computer Science, or Engineering with a strong focus on causal reasoning, data analysis, machine learning, generative AI or a related field, and 10+ years of practical experience solving complex problems in computer vision, anomaly detection, robotics. or multi-modal classification systems. Manufacturing, packaging and/or logistic experience is a plus, but not a requirementKey job responsibilities- Advance exploratory research projects in statistics , machine learning, and related fields to create defect-free packaging customer experiences- Analyze large amounts of Amazon shipments to discover patterns, find opportunities, and develop highly innovative, scalable algorithms to seize these opportunities- Validate new or improved models via statistically relevant experiments across millions of customers- Work closely with software engineering teams to build scalable prototypes for testing, and integrate successful models and algorithms in production systems at very large scaleBASIC QUALIFICATIONS-Ph.D. degree in Statistics, Computer Science, Machine Learning, or a related field with publications in refereed academic conferences and journals-10+ years of experience of solving difficult machine learning, optimization, or statistical business problems-Experience programming in Python, Java, C++ or a related language-Proven track record in leading, mentoring, and growing teams of scientists -Demonstrated ability to serve as a technical lead -Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions. -Strong fundamentals in problem solving, algorithm design and complexity analysis ...

Amazon seeks an experienced Data Engineer to join the DPS (Deny Party Screening) team. Our mission is to prevent denied party from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries, etc. We screen billions of events every day. We integrate with Tier 1 systems, build DPS systems, and deal with unique scaling challenges. As a Data Engineer, You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Your major responsibilities will include - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies. - Designing and implementing complex ELT pipelines and other BI solutions. - Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data. About the teamAbout AmSec:Diverse ExperiencesAmazon Security 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.Why Amazon SecurityAt Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.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.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of data engineering experience- 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 ...

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 ...