Careers

As part of the AWS Applied AI Solutions organization, we're advancing the frontier of computer vision and deep learning. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries. The Team Our research team is tackling fundamental challenges in computer vision and deep learning. We're investigating novel approaches to how AI systems understand spatial and temporal relationships, reason about object interactions, and maintain contextual awareness across time. The Role Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. Key job responsibilities - Develop a novel framework to solve person tracking problem in the physical world - Advance the theory and practice of multi-object tracking, re-identification, pose estimation, and person activity understanding - Create innovative techniques for efficient visual processing that can scale to real-world applications - Investigate approaches to reduce the computational and data requirements of visual AI systems A day in the life As an Applied Scientist, you'll conduct fundamental research in visual reasoning while maintaining a clear path to practical applications. You'll investigate novel architectural approaches, develop new theoretical frameworks, and validate ideas through rigorous experimentation. You'll collaborate with other scientists and engineers to transform research insights into scalable solutions, publish your findings in top-tier conferences, and help shape the future direction of visual AI technology. About the team AWS Applied AI Solutions As part of the AWS Applied AI 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. About AWS Diverse Experiences AWS 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 Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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 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.

The Amazon Selection and Catalog Systems team (ASCS) builds global selection and catalog management systems. The Selection Monitoring team is responsible for building the biggest product selection on the planet to satisfy our customers’ all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale. We are looking for a Senior Manager, Applied Science to tackle ambiguous problems in the areas of data processing, machine learning algorithms and distributed systems of cloud-scale. You are expected to take ownership, dive deep and drive solutions from developing prototypes, doing experiments, design to coding, testing and deployment. The role demands innovation and expects you to push the boundaries. You will get opportunity to work with many tech teams and business teams within Amazon and deliver solutions that will have an impact to both Amazon top-line & bottom line.

急成長する組織で、データサイエンス・アルゴリズムのスキルを武器に物流に変革を起こしませんか？ アマゾンジャパン トランスポーテーション部門では、Data ScientistやData EngineerのチームをLeadし、Businessに必要な機械学習/Heuristicモデル・ソリューションの構築を主導するSenior Data Scientistを募集します。 当社は日本最大級のEコマースモールを運営しています。「地球上で最もお客様を大切にする企業になること」を企業理念に掲げ、お客様が欲しい商品を欲しい時に最速のお届けでお買い物出来るようなネットワークの構築を行っています。遅延なく商品を入荷しお客様に幅広いセレクションを提供し、お約束通りに商品をお届けすることはサービスの根幹ですが、物流・小売業界を取り巻く環境は日々変化しています。常に変化する状況にあってもお客様のために常に高いサービス品質を提供することは、当社の競争力に必要不可欠な要素です。 Amazon Japanの成長に伴って拡大を続けるサプライチェーンは日々複雑性を増しており、Business Operationの効率化・可視化・意思決定の質の向上が求められています。AWSやAmazon 独自のToolを使って、これらのチャレンジに対して最適なモデル・ソリューションを提供するチームをリードするEngineerを募集しています。 ------------------------------- Revolutionize logistics with your data science and algorithm skills in a rapidly growing organization. The Amazon Japan Transportation division is seeking a Senior Data Scientist to lead a team of Data Scientists and Data Engineers, and spearhead the development of machine learning/heuristic model solutions that meet the business's needs. This is an exciting opportunity to contribute your talents. Our company operates Japan's largest e-commerce marketplace. Guided by the vision of becoming "Earth's most customer-centric company," we are building a network that delivers the products customers want, when they want them, as quickly as possible. Seamlessly replenishing inventory and providing a wide selection are core to our service, but the logistics and retail landscape is constantly evolving. Maintaining high service quality amidst this change is essential to our competitiveness. As Amazon Japan continues to grow, our expanding supply chain is becoming increasingly complex. There is a strong need to improve the efficiency, visibility, and quality of our business operations. We are seeking an engineer to lead a team that leverages AWS and Amazon's proprietary tools to deliver optimal model and technology solutions for these challenges. Key job responsibilities • 複雑でBusiness Impactの大きな課題に対するモデル・ソリューションを提供します。アーキテクチャレベルから設計し、必要に応じて他のエンジニアリングチームと協力して行います。 • People Managementを除くTech Leading・Project Leading・Team Leadingを行います。Scrumプロセスに基づき、チームの優先順位を設定し、顧客やステークホルダーと効果的に連携する必要があります。Managerとともにロードマップを確立し、ビジネスニーズを満たすソリューションを提供します。 • エンジニアリング上の基準(正確性、効率性など)や運用上の基準(品質、一貫性、信頼性など)を確立するためのメカニズムをManagerとともに構築します。 • チームの進捗状況、データ/ソリューションの品質、エンジニアリング/運用の状況を測定する指標をManagerとともに定義します。 • 戦略的に考え、トレードオフを行う必要があります。あなたの決定は、組織のインフラストラクチャ(リソースやコストを含む)に影響を与えます。 • アイデアを効果的に伝える必要があり、あらゆるタイプのステークホルダーに対して口頭および文章で伝えることが出来ます。戦略的な文書を作成します。 • 限られたガイダンスの下で、プロジェクトをリードする必要があります。 ------------------------------- • Provide model and technology solutions for complex, high-impact business challenges. Design these solutions from an architectural level, collaborating with other engineering teams as needed. • Serve as a Tech Lead, Project Lead and Team Lead (excluding people management). Based on Scrum processes, you will set team priorities, effectively liaise with customers and stakeholders. Partner with Managers to establish a roadmap and deliver solutions that meet business needs. • Collaborate with Managers to establish mechanisms that uphold engineering standards (e.g., accuracy, efficiency) and operational standards (e.g., quality, consistency, reliability). • Define metrics with Managers to measure team progress, data/solution quality, and the state of engineering/operations. • Think strategically and make tradeoffs, as your decisions will impact the organization's infrastructure (including resources and costs). • Communicate ideas effectively, both verbally and in writing, to all types of stakeholders. Produce strategic documentation. • Lead projects with limited guidance. A day in the life • 10:00 出勤。自分がLeadしているプロジェクトのコードを書く • 10:30 同僚が実装した新しいMLOpsツールの説明を受ける。前から欲しかったInput Feature Validation機能がついており感動 • 11:00 プロジェクトメンバーと一緒にHyper Parameter Tuningのコードを設計。Notebookで実行し、午前中の仕事は終了 • 12:00 ランチ。今週の週替わりメニューのタンドリーチキンを初めて食べてみる。エキゾチック！ • 13:30 Scrum Daily Meeting。同僚の進捗を確認しつつ情報交換。Lossの改良に別プロジェクトの知見が使えそう • 14:00 Biz sideとフラッシュディスカッション。実装アイデアについて目線合わせ • 14:30 肩が凝ったので会社でマッサージの施術を受ける。最高 • 15:00 一旦退社。残りは家で • 16:00 Hyper Parameter tuneの結果を確認。Bayesでよさそうだけど、探索空間は要検討。いったん大域探索のために分散並列処理をDEと一緒に書く • 18:00 明日のProject Weeklyの準備。各メンバーの進捗をSlackで確認し、事前にアドバイスをいくつか提供。Notebookに作ってくれたFigureを保存 • 18:30 コードレビュー。コメントをいくつか付けてApprove • 19:30 お仕事終了 About the team 弊チームはData Scienceソリューションを提供しており、主なミッションは以下の3つです。 • 1: 幹線輸送情報を包括的に管理・分析するための、大規模なData Martの改修・維持管理 • 2: 上記1のデータを利用した機械学習・最適化系アルゴリズムソリューションの提供 • 3: 上記1のデータを利用したBusiness Insight導出用のData Pipeline・Dashboardソリューションの提供 特に2の領域についてはニーズが高まっており、開発を加速しています。一例を挙げると、件数ベースで新たな開発ニーズの80%を占めるとともに、Business Impactも従来のプロジェクトにくらべ非常に大きくなっています。 機械学習系のソリューションは提供開始からまだ1年が経過したばかりですが、非常に期待を集めている成長著しい領域となります。 ---------------- Our team provides Data Science solutions, and our main missions are the following three: • 1: Overhaul and maintain a large-scale Data Mart to comprehensively manage and analyze trunk transportation information • 2: Provide machine learning, optimization algorithm solutions utilizing the data from the above 1 • 3: Provide Data Pipeline and Dashboard solutions to derive Business Insights using the data from the above 1 In particular, there is a growing demand in the area 2, and we are accelerating the development.

Want to help develop the next generation of web search to support intelligent assistant products? Join us! We are looking for a talented Applied Scientist to help us develop state-of-the-art, next generation web search capabilities within Amazon AGI. You will have an opportunity to directly impact the customer experience, design, architecture, and implementation of products that will be used every day by people you know. We're looking for someone passionate about innovating on behalf of customers, who demonstrates strong product ownership and is willing to think in new ways to solve difficult problems. You'll develop novel solutions to challenging technical problems, driving key improvements in our web search capabilities. You'll perform rigorous research, publishing papers in top IR conferences along the way. Key job responsibilities Develop state-of-the-art web search technology, including training novel retrieval and ranking models, scaling models and optimizing performance, partnering with engineering to deploy and debug model performance in production, and building and scaling quality training data sets.

Amazon is looking for talented Postdoctoral Scientists to join our team for a one-year, full-time research position. EU STEP brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain. We work backwards from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable with the technological advances we offer. To that end, we split our time between short-term deliveries focused on business and long-term research that prepare Amazon for the future. Our skills lie in the area of machine learning and optimization; and know how to code efficient algorithmic science solutions. In this position we focus on Demand Forecast for Scheduling and Capacity Management, which includes the subproblems of origin-destination forecasting, week over week end-to-end network demand flow estimation, hour per hour forecast refresh. We experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, causal modeling and game theory at scale to enhance the customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers. In this role you will: * Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. * Publish your innovation in top-tier academic venues and hone your presentation skills. * Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers to lead key initiatives in robotic intelligence. As a Principal Applied Scientist, you'll spearhead the development of breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive technical excellence in areas such as perception, manipulation, science understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between state-of-the-art research and real-world deployment at Amazon scale. In this role, you'll combine hands-on technical work with scientific leadership, ensuring your team delivers robust solutions for dynamic real-world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications. Key job responsibilities - Lead technical initiatives in robotics foundation models, driving breakthrough approaches through hands-on research and development in areas like open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization - Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish - Guide technical direction for specific research initiatives, ensuring robust performance in production environments - Mentor and support fellow scientists while maintaining strong individual technical contributions - Collaborate with engineering teams to optimize and scale models for real-world applications - Influence technical decisions and implementation strategies within your area of focus A day in the life - Develop and implement novel foundation model architectures, working hands-on with our extensive compute infrastructure - Guide and support fellow scientists in solving complex technical challenges, from sim2real transfer to efficient multi-task learning - Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems - Drive technical discussions within your team and with key stakeholders - Conduct experiments and prototype new ideas using our massive compute cluster - Mentor team members while maintaining significant hands-on contribution to technical solutions 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 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! About the team At Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team is building the future of intelligent robotics through ground breaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! We are looking for an accomplished machine learning expert to lead the Applied Science strategy for our Media Planning Science program. In this role, you will work closely with business leaders, stakeholders, and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap, promote a culture of data-driven decision-making, and deliver significant business impact using advanced data techniques and applied science methodologies. Key job responsibilities As An Applied Scientist On This Team, You Will 1. Serve as the technical leader in Machine Learning, guiding efforts within the team and collaborating with other teams. 2. Conduct hands-on analysis and modeling of large-scale data to generate insights that boost traffic monetization and merchandise sales while maintaining a positive shopper experience. 3. Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity. 4. Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production. 5. Run A/B experiments, gather data, and perform statistical analysis to validate your models. 6. Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving. 7. Explore and research innovative machine learning approaches to push the boundaries of what’s possible. About the team The Media Planning Science team builds and deploys models that provide insights and recommendations for media planning. Our mission is to assist advertisers in activating plans that align with their goals. Our insights and recommendations leverage heuristic and machine learning models to simplify the complex tasks of forecasting, outcome prediction, budget planning, optimized audience selection and measurements for media planners. We integrate our insights into user interfaces and programmatic integrations via APIs, ensuring reliable data, timely delivery, and optimal advertising outcomes for our advertisers.

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. Key job responsibilities We're looking for a Sr. Manager, Applied Science to lead a team of Applied Scientists and Machine Learning Engineers in our Just Walk Out Technology organization. As a Sr. Manager, Applied Science, you will be responsible for building and leading a world-class team that pushes the boundaries of computer vision, machine learning, and artificial intelligence. In this role, you will drive the technical vision and strategy for your team while fostering a culture of innovation and scientific excellence. You will balance hands-on technical leadership with people management responsibilities, ensuring your team delivers cutting-edge solutions while growing professionally. The role requires someone who can think strategically about business problems while diving deep into technical details when needed. - Building and mentoring a team of Applied Scientists and ML Engineers - Setting technical direction and research strategy aligned with business goals - Driving innovation in visual reasoning systems, AI agent design, and computer vision - Collaborating with cross-functional teams to translate research into production - Managing project portfolios and resource allocation About the team Just Walk Out (JWO) is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your account and send you a receipt. Check it out at justwalkout.com. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design. About AWS Diverse Experiences AWS 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 Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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 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.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video team member, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities As an Applied Scientist in the Content Understanding Team, you will lead the end-to-end research and deployment of video and multi-modal models applied to a variety of downstream applications. More specifically, you will: - Work backwards from customer problems to research and design scientific approaches for solving them - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals About the team Our Prime Video Content Understanding team builds holistic media representations (e.g. descriptions of scenes, semantic embeddings) and apply them to new customer experiences supply chain problems. Our technology spans the entire Prime Video catalogue globally, and we enable instant recaps, skip intro timing, ad placement, search, and content moderation.

Who are we? Do you want to build Amazon's next $100B business? We're not just joining the shipping industry—we're transforming how billions of packages move across the world every year. Through evolving Amazon's controlled, predictable fulfillment network into a dynamic, adaptive shipping powerhouse we are building an intelligent system that optimizes in real-time to deliver on the promises businesses make to their customers. Our mission goes beyond moving boxes—we're spinning a flywheel where every new package makes our network stronger, faster, and more efficient. As we increase density and scale, we're revolutionizing shipping for businesses while simultaneously strengthening Amazon's own delivery capabilities, driving down costs and increasing speed for our entire ecosystem. What will you do? Amazon shipping is seeking a Senior Data Scientist with strong statistical, ML and forecasting skills to work in an embedded team, partnering closely with commercial, product and tech. This person will primary be responsible for developing cutting marginal cost prediction models for Amazon shipping’s spot channel. As a Senior Data Scientist, you will be part of a science team responsible for improving price discovery across Amazon shipping, measuring the impact of model implementation, and defining a roadmap for improvements and expansion of the models into new unique use cases. This person will be collaborating closely with business and software teams to research, innovate, and solve high impact costing problems facing the worldwide Amazon shipping business. Key job responsibilities * Design and develop robust forecasting models for shipping costs, customer demand, and transportation capacity. * Partner with other scientists to dynamically predict prices to maximize capacity utilization. * Build and implement robust ML models for customer segmentation, profitability maximization, performance outlier identification, and risk prediction * Use forecasting, statistical, machine learning and analytical techniques to create scalable solutions for business problems. * Collaborate with product managers, data scientists, and software developers to incorporate models into production processes and influence senior leaders. * Educate non-technical business leaders on complex modeling concepts, and explain modeling results, implications, and performance in an accessible manner. * Independently identify and pursue new opportunities to leverage science insights. * Opportunity to expand into other domains such as causal analytics, optimization and simulation. About the team Amazon Shipping's pricing team empowers our global business to find strategic harmony between growth and profit tradeoffs, while seeking long term customer value and financial viability. Our people and systems help identify and drive synergy between demand, operational, and economic planning. The breadth of our problems range from CEO-level strategic support to in-depth mathematical experimentation and optimization. Excited by the intersection of data and large scale strategic decision-making? This is the team for you!