Data Science

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.Key job responsibilitiesWe are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. A day in the lifeYou will:Develop and improve the current data architecture, data quality, monitoring and data availability.Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learningPartner with BAs across teams to build and verify hypothesis to improve the AWS Support business.Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customersKeep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse 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.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- 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) ...

As a Sr. Data Scientist on the Targeting & Tooling team, you will have the opportunity to gain deep insights into customer needs and accelerate our go-to-market strategies. Leveraging cutting-edge AI and machine learning techniques, you will provide actionable and understandable recommendations that enable our sales teams to anticipate customer requirements and identify those best positioned to benefit from Amazon Web Services (AWS) cloud solutions. You will work closely with stakeholders throughout the organization to consume, analyze, and interpret customer data from a variety of sources. You will convey technical concepts clearly to both technical and non-technical audiences. You will identify trends and tell compelling data stories.You will help improve customer experiences and drive business results as a key member of the World Wide Specialist Organization (WWSO) team.Our 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.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.Key job responsibilities- Leverage machine learning and advanced analytical techniques to extract meaningful insights from large, complex data sets related to GenAI, Enterprise Applications, Containerized Applications, and Serverless applications.- Build, evaluate, and optimize data science models to solve focused business problems such as improving customer targeting, predicting product demand, and identifying growth opportunities.- Work closely with Go-To-Market, field teams, and product teams to understand key challenges and inform strategic initiatives with data-driven recommendations.- Communicate analysis, results and recommendations clearly to key stakeholders to influence Go-To-Market strategy.- Keep updated on latest data science and machine learning advancements and evaluate new methods for applicability to current business problems.- Develop best practices for building, evaluating, deploying and monitoring analytical models in production environments.A day in the lifeAs a Data Scientist on the Targeting and Tooling team, a typical day may start by meeting with our go-to-market teams to deeply understand the customer challenges they want to solve, the AWS services and technologies that can address those needs, and the key success metrics for their initiatives. You will translate business goals into focused, data-driven projects. This involves identifying leading indicators and unique data sources to model ideal customer profiles and high-potential targets. About the teamThe Targeting and Tooling team plays a crucial role in enabling AWS go-to-market teams to achieve their strategic initiatives. We leverage cutting-edge data science and machine learning techniques to equip our sales and marketing teams with actionable insights that accelerate cloud transformation.Our core mission is to provide data-driven targeting that allows AWS go-to-market teams to anticipate customer needs early and identify high-potential opportunities. Working closely with stakeholders, we first strive to thoroughly understand existing solutions and offerings along with their target outcomes. With this context, we develop innovative predictive models that identify both current ideal customers and those likely to expand their AWS footprint over time. In addition, we create novel metrics and adoption models that measure the overall success of the initiative.The Targeting and Tooling group produces the actionable intelligence that directly informs go-to-market strategies worldwide. The insights we uncover help prioritize accounts and opportunities to drive AWS growth. As a team of elite data scientists and machine learning engineers, we shape plans that support sales, marketing, and cloud adoption success across all industries.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 ...

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 ...

Want to be part of a team that is helping redefine the future of video advertising? Prime Video is looking for a world-class Science & Analytics Leader to help us assemble and execute against our team’s strategic advertising initiatives and change how advertisers engage with consumers via streaming media around the world. Video Advertising is rapidly evolving as customers shift their viewing experiences from traditional linear TV to streaming via connected devices. Prime Video is a rising player in this space. We have differentiated assets in terms of consumer experiences and audience insights against a breadth of exclusive content which positions us well for the long-term. We are seeking a Science & Analytics Leader to manage the development and application of methods to: examine the complex data flows of the Prime Video Advertising, translate deep-dives into actionable insights for our product teams; and build new tools and services in order to dynamically optimize the business with customers and advertisers. In this role, you and your teams will analyze our advertising-related data to enable sound business insights ongoing while also helping to improve the performance of our packaging and ad serving decisions. This will need to take into account advertiser demand and customer engagement expectations, desired targeting and relevance outcomes, and the adoption and impact of new ad product releases.Key job responsibilities• Analyze data trends regarding supply/demand optimization, ad load, and mix effects that affect advertiser objectives and customer experience. • Provide analysis to senior leaders on issues like business impact of new feature development, addressability or recognition rates, and changes of ad serving systems to improve monetization rate and customer experience - highlighting insights that will inform our business development and engineering roadmaps. • Formalize our approach to balancing CX and yield optimization by analyzing supply and demand patterns across multiple channels and products. • Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities. • Partner with engineering teams to define data logging requirements and get these prioritized in engineering roadmaps. • Validate financial models through analysis • Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives or low-touch insights.A day in the lifeThe Science & Analytics Leader will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The candidate will then analyze the data and present papers and ongoing reports on actionable insights, as well as science-powered models for optimizing against those insights at scale. In addition, we will be looking for the candidate to attract and develop a high-impact, multi-functional data analytics team. About the teamThe Prime Video Advertising Science & Analytics team works in close alignment with PM, engineer, business, and sales teams to help achieve advertiser objectives against best-in-class customer ad experiences, and meaningfully improve financial performance. We pride ourselves for acting as owners of the areas we support, and thinking broadly about the impact that our analysis, audits, and models bring to the business. We are at our best when we understand not just the analytics components of our business, but also have deep business knowledge of customer needs and product operations.BASIC QUALIFICATIONS- Master’s degree or PhD in a field that has significant emphasis on quantitative methods such as statistics, or mathematical optimization - Solid business judgment capable of driving an organization to the right results with a focused, pragmatic, approach to data analytics - Experience operating successfully in a fast-paced, results-oriented environment, and having the ability to influence the decisions of senior business leaders through effective verbal and written communication, logical reasoning, and the presentation of alternatives- Close familiarity and understanding of RTB/DTB supply data including the systems and processes required to turn a bid request from a publisher into an ad seen by a person- Track record of mentoring and growing an impactful data analytics team ...

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems.Key job responsibilitiesAs a Data Scientist, you will-- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges- Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production- Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder- Provide customer and market feedback to Product and Engineering teams to help define product directionAbout the teamABOUT AWS: Diverse Experiences Amazon 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.Work/Life Balance 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. Inclusive Team Culture 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.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 5+ 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 in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science ...

Are you inspired by invention? 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 Last Mile Solutions Engineering team. WW AMZL Solutions Engineering team is looking to build out our Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If you’re interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you’ve come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers.As a Simulation Scientist, you are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. As a simulation scientist, you will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon.Key job responsibilities• Design, develop, and simulate engineering solutions for complex material handling challenges considering human/equipment interactions for the Last Mile network• Lead and coordinate simulation efforts for optimal solutions through equipment specification, material flow, process design, ergonomics, associate experience, operational considerations and site layout• The candidate must have the ability to work with diverse customer groups to solve business problems and provide data solutions that are organized and simple to understand. • Working with technical and non-technical customers to design experiments, simulations, and communicate results• Develop, document and update simulation standards, including standard results reports• Create basic to highly advanced models and run "what-if" scenarios to help drive to optimal solutions• Work closely with internal teams to ensure that every detail is thought through and documented using Standard Operating Procedures and/or structured change control• Work closely with vendors, suppliers and other cross functional teams to come up with innovative solutions• Simultaneously manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners• Conduct post-mortem on simulations, after implementation of new designs, in partnering with Safety and OperationsA day in the lifeIf 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- 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- Bachelor's degree ...

Amazon Worldwide Advertising is one of Amazon's fastest growing and most profitable businesses. Partner Experience and Growth (PEG) team leverages advanced analytics and experimentation to unlock value for our advertising partners and mutual customers i.e. the advertisers. The Science charter in PEG spearheads these efforts by optimizing the onboarding journey and providing data-driven insights to agencies and tool providers in the Amazon Ads ecosystem. Our proprietary tools provide granular visibility into what's working across audiences, creatives, targeting strategies, and more. These custom algorithmic recommendations uncover growth opportunities previously hidden in the data fog. Partners can confidently allocate budgets based on predicted performance, unlocking improved return on ad spend. And advertisers reap the benefits through expanded brand awareness, increased sales, and stronger customer loyalty over time.Key job responsibilitiesYou will participate in driving features from idea to deployment, and your work will directly impact millions of customers.You are going to love this job because you will:Map business requirements and customer needs to a scientific problem.Align the research direction to business requirements and make the right judgments on research/development schedule and prioritization.Research, design and implement scalable machine learning (ML), natural language, or supervised and unsupervised models to solve problems that matter to our customers in an iterative fashion.Mentor and develop junior scientists and developers who work on science problems in the same organization.Stay informed on the latest machine learning, natural language and/or artificial intelligence trends and make presentations to the larger engineering and science communities.Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations on proposed solutions and their potential impact.About the teamThe Partner Science team’s vision is to drive the Advertising Partner flywheel by infusing science-based interventions at all stages of their journey with Amazon Ads including demand generation, partner selection, partner engagement, partner competition and innovation, ultimately improving the partner managed advertiser experience. We drive the vision by attracting and growing top scientist talents in an innovative, experimental, and collaborative culture. 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- Bachelor's degree- Experience with statistical models e.g. multinomial logistic regression ...

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 ROLEAs a Senior Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including machine learning, artificial intelligence (AI), natural language processing (NLP), reinforcement learning (RL), real-time and distributed systems. Your primary focus will be on designing, developing, and deploying highly innovative modeling techniques to production to advance the state of the art in aforementioned domains. Your decision-making will consistently incorporate robust, data-driven business and technical judgment.ABOUT YOUYou have a background in modern programming languages, distributed system design, service-oriented architecture, and high scalability. Experience in advanced machine learning technologies and Artificial intelligence is a big plus. Equally important is the ability to multi-task, invent, create reliable and maintainable code, and find creative, scalable solutions to difficult problems. You'll work with experienced managers who'll care for you. We'll guide you on your career growth path and there's no shortage of technical challenges.As a Senior Applied Scientist, you will...- Understand large complex use cases across the business and design scalable, efficient, automated model solutions- Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features- Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fast-paced, experimental environment- Mentor and grow the scientists in the team and across Amazon ABOUT 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- 5+ years of industry experience in Deep learning, Natural Language Processing/Understanding, Reinforcement learning and Speech processing- PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Data Science, Applied Math, Operational Research or a related quantitative field- 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 ...

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 ...

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 ...

Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.As a Senior Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing), operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E, from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team’s BI solutions and any related systems or artifacts.Key job responsibilities• Owning the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools• Build and deliver high quality data sets to support data scientists and customer reporting needs.• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers• Translate basic business problem statements into analysis requirements.• Use analytical and statistical rigor to answer business questions and drive business decisions.• Find and create ways to measure the customer experience to drive business outcomes.• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.• Write queries and output efficiently, and have in-depth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysis-ready.• Recognize and adopt best practices in reporting and analysis: integrity, design, analysis, validation, and documentation.• Troubleshoot operational quality issues.• Review and audit existing jobs and queries.• Recommending improvements to back-end sources for increased accuracy and simplicity.About the teamDiverse Experiences:AWS 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 Culture: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.Mentorship & Career Growth: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.Work/Life Balance:We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Bachelors Degree in relevant Technical Field ...

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 ...

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

Amazon revolutionized customer service, now we are changing what customers expect from technical support. Device, Digital and Alexa Support (D2AS) is responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products, from Kindle and Echo, to Amazon Music and Prime Video.We’re seeking an Applied Scientist to develop cutting-edge AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to understand and resolve customer issues and provide earth's best customer service. We are looking for individuals with a passion for learning, researching, and deploying production-ready science solutions in a highly collaborative environment. We like to ideate, experiment, iterate, optimize and scale quickly, while thoughtfully balancing speed and qualityIf you have experience with two or more of the following: - Research and implementation of multi-turn task-oriented dialogue systems- Natural Language Understanding / Spoken Language Understanding- Information Retrieval, Question Answering, Semantic Representation- Zero-shot or Few-shot Learning- Crowdsourced NLU annotation best practices- Reinforcement Learning (preferably in an NLP application)- Computational Linguistics- Large scale text classificationThen we want to hear from you! Key job responsibilities- Drive collaborative research and creative problem solving.- Apply scientific concepts to real-world business problems.- Create experiments and prototype implementations of new learning algorithms and prediction techniques.- Collaborate with engineering teams to design and implement software solutions for science problems - Constructively critique peer research and mentor junior s and engineers.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- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- 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 ...

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world.Key job responsibilitiesThe Kuiper SMART team is a team of Machine Learning Engineers, Scientists, and Data Engineers that is working with stakeholders across Kuiper to solve ML and AI problems. We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, NLP, to lead delivering best in class automated customer service and business analytic solutions for our partner, the Kuiper Customer Service team. As an Applied Scientist, you will be responsible for the development, fine-tuning, and evaluation of AI models that power our chatbot and IVR solutions. Your work will ensure the chatbot and IVR is accurate, reliable, and continually improving to meet customer needs. This role involves collaborating with cross-functional teams to integrate AI solutions into our customer service platform, monitor their performance, and implement ongoing enhancements.The ideal candidate has experience in successfully building chat bots using AI technologies, measuring their performance and delivering ongoing improvements.About the teamIn Project Kuiper, we believe that our differences makes us stronger. We are committed to Amazon’s culture of inclusion ingrained in our Leadership Principles, which encourages team members to seek diverse perspectives, learn and be curious, and earn trust. We want to foster a culture of collaboration, delivering results and work/life balance.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 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 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 experience in predictive and machine learning models and working with distributed systems. Academic and/or practical background in Machine Learning are particularly relevant for this position. Familiarity and experience in applying Operations Research techniques to supply chain problems is a plus.BASIC 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 in building machine learning models for business application- Experience programming in Java, C++, Python or related language- Experience implementing algorithms using both toolkits and self-developed code- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon Games is seeking a highly effective generative AI scientist to build and integrate new groundbreaking AI into our game pipelines and customer experiences. Our mission to be the most customer obsessed video game company requires exploration into these cutting-edge tools to improve the quality and quantity of fun gameplay for our players; while ensuring their ethical and responsible implementation. At Amazon Games we are creating games like the open world MMO New World and working with partners to publish hit games like Lost Ark. Amazon is working on unannounced titles for PC, console, and mobile platforms.We believe passionately that employing a diverse workforce is central to building the best games for our players. We make recruiting decisions based on your experience and skills and value your passion to discover, invent, simplify, and build.Key job responsibilities- Drive, design, develop, and support highly ambiguous and complex generative AI services for games using AWS or local hardware resources.- Collaborate with game team engineers to integrate generative AI tools into developer workflows.- Stay up to date with and analyze the latest advancements in generative AI technology and continuously improve product features where meaningful improvements in cost, scalability, quality, or functionality can be achieved.- Work with other game teams in the organization to expose sharable pieces of generative AI technology.- Consult and contribute to evaluations of other internal or 3rd party generative AI services that could be leveraged by the project or the organization.- Proactively identify and solve problems that affect the quality of life for players, operations, and other developers.- Assess costs (both monetary and environmental) of generative AI features.- Be an advocate for players and developers: Insist on the highest standards, drive to operational excellence, help create functional and engaging customer-centric features.A day in the life- You thrive in a collaborative environment where your decisions have significant impact and influence.- You are passionate about building game experiences that delight players.- You deliver great workflows and tools to your fellow developers and constantly seek improvement.- You want to be part of something exciting and unique in the gaming ecosystem.- Your day-to-day involves working closely with designers and artists to unlock generative AI features and tools; this involves a few regular meetings but mostly a lot of interaction either face-to-face or invirtual channels - the structure of your day includes these interactions but also a lot of focus time in implementing these ideas.About the teamOur product is an unannounced game built by a team with veterans from many popular titles like Destiny, Bioshock, Bioshock Infinite, Hogwarts Legacy, Mortal Kombat, World of Warcraft, EverQuest, EverQuest 2, PlanetSide 2, and H1Z1. Come join our passionate team and help make the next game that everyone will be downloading to their PCs and consoles!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- PhD or Masters of Science degree in Machine Learning, Natural Language Processing (NLP), or a related quantitative field and 6+ years of Research Experience- Experience utilizing ML frameworks (i.e. PyTorch, TensorFlow, Keras, or similar)- Extensive knowledge and practical experience in at least one of these areas of machine learning: Deep Learning systems, NLP, Reinforcement Learning- Experience in designing, deploying ML/AI services and making them ready for production ...

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

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. For this role, we're looking for an experienced product data scientist who will help develop the strategy and evaluate/improve product initiatives within our Creator product team. You will be responsible to define and track KPIs, design experiments, evaluate A/B tests, implement data instrumentation, and inform on investment. Our ideal candidate is a "full-stack" data powerhouse who uses data to drive decision making to make the best products for our creators and their communities. Your input will be core to decision making across all major product strategies and initiatives that our team builds. You will work closely with product managers, technical program managers, engineering, data scientists, and organization leadership within and outside of the Creator organization. You Will- Inform product strategies by defining and updating core metrics for each initiative- Establish analytical framework for your team: ad-hoc analysis, automated dashboards, and self-service reporting tools to surface key data to stakeholders - Evaluate and forecast impact of product features on creators, viewers, and the entire Twitch ecosystem- Design A/B experiments to drive product direction with iterative innovation and measurement- Drive the team's analysis roadmap and prioritize the most valuable projects- Tackle complex and ambiguous analytic projects, resolve ambiguity and accurately identify the trade-offs between speed and quality and apply or route work as necessary- Dive deep into the data to understand how creator and viewer behaviors change with the evolution of our product- Act as our team's thought leader on best practices and move towards long-term vision of sustainable and thriving data processes - Own data collection and product instrumentation implementation and quality assurance- 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 DiscountAbout the teamTwitch is all about community, and our Community Team is a core pillar of what makes Twitch, Twitch. Teams within Community are responsible for a myriad of product areas impacting the creator, viewer, and moderator journeys on our platform. As a member of our team, you'll build solutions that improve g the experience of millions of daily active users on our platform and create tools that keep both streamers and viewers engaged and connected on our platform. BASIC 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 ...

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 ...