Careers

We are seeking a highly talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities • Invent, implement, and deploy scalable machine learning algorithms and models to solve complex, real-world problems for our MENA customers. • Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. • Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. • Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, augmenting abuse prevention systems etc. • Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. • Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world

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、Applied Scientistとして、物流ネットワークの最適化・モニタリングに必要なAlgorithm/Heuristicモデル・ソリューションの構築を主導するSenior Applied 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Engineerを募集しています。 ------------------------------- Join a rapidly growing organization and lead the transformation of logistics through your data science and algorithm skills. The Transportation team at Amazon Japan is seeking a Senior Applied Scientist to spearhead the development of algorithmic/heuristic models and solutions to optimize and monitor our logistics network. We operate Japan's largest e-commerce marketplace with the mission of becoming "Earth's most customer-centric company." We are building a network that can deliver the products customers want, when they want them, as quickly as possible. Timely replenishment, wide product selection, and reliable delivery are the core of our service, but the logistics and retail landscape is constantly evolving. Maintaining high-quality service amidst these changes is critical to our competitiveness. As Amazon Japan grows, the complexity of our supply chain continues to increase, demanding greater efficiency, visibility, and improved decision-making in our business operations. We are looking for Engineers who can leverage AWS and Amazon's proprietary tools to provide optimal models and solutions to address 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。 • Networkチーム専属かつ最初のScientistとして、前例のない取り組みに果敢に挑み、ステークホルダーと効果的に連携する必要があります。Tech・Biz両方の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。ドメインに対する学習意欲と、フルスタックサイエンティスト・エンジニアとして手を動かすことが必要になります。 • ネットワークオペレーション上の基準(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。ユーザーであるネットワークチームに、分析結果を専門用語に頼ることなく効率的に伝えていく必要があります • 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、Amazonの物流ネットワークに大きな影響を与えます • 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。戦略的な文書から、作成したツールの使い方等といった運用上重要な文章まで、あらゆるスタックの文章を作成します。 • 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 solution to address complex, high-business-impact challenges. Design from the architectural level and collaborate with other engineering teams as needed. As the dedicated and first Scientist for the Network team, you will boldly take on unprecedented initiatives and effectively engage with stakeholders. Work with both tech and business managers to establish a roadmap and deliver solutions that meet business needs. A strong learning appetite for the domain and ability to be a full-stack scientist/engineer are required. Collaborate with managers to establish mechanisms that set network operation metrics (accuracy, efficiency, etc.) and operational standards (quality, consistency, reliability, etc.). You will need to efficiently communicate analysis results to the user network team without relying on specialized terminology. Strategic thinking and trade-off decisions are necessary. Your decisions will have significant impact on Amazon's logistics network. Ability to effectively communicate ideas, both verbally and in writing, to all types of stakeholders. You will produce content ranging from strategic documents to operational guides on using your developed tools across the stack. 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 Data Engineerのの同僚が実装した新しい最適化ツールの説明を受ける。前から欲しかったBeam Search Bandwith Scheduler機能がついており感動 • 11:00 ネットワーク最適化シミュレーションのコードを設計。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。シミュレーション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 シミュレーションの結果を確認。最適化エンジンは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書く • 18:00 明日のProject Weeklyの準備。いくつかfigureを作成し、自分の進捗をNotebookに保存 • 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Algorithm / 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最適化・機械学習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 Algorithm/Data Science solutions, with the main focus on the following three areas: Overhauling and maintaining a large-scale Data Mart to comprehensively manage and analyze long-haul transportation data. Delivering optimization and machine learning-based algorithmic solutions utilizing the data from the above Data Mart. Providing Data Pipeline and Dashboard solutions to derive business insights from the data in the Data Mart. In particular, the second area has seen growing demand, and we are accelerating the development in this domain. For example, this accounts for approximately 80% of new development needs by volume, and the business impact is significantly greater compared to our previous projects. The machine learning-based solutions we have started providing just over a year ago have become a rapidly growing and highly anticipated area.

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 Senior 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 discrete event 3D simulations using tools like Flexsim, Anylogic, Emulate 3D etc 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 expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. 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. 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 Key job responsibilities • Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages • Lead strategic modeling and simulation research projects to drive process design decisions • Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards • Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact • Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations • Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects • Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments • Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline • Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices • Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms • Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout • Deliver results according to project schedules and quality A day in the life 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!

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 Senior 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 discrete event 3D simulations using tools like Flexsim, Anylogic, Emulate 3D etc 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 Sr. Simulation Scientist, you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. 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. 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 Key job responsibilities • Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages • Lead strategic modeling and simulation research projects to drive process design decisions • Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards • Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact • Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations • Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects • Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments • Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline • Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices • Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms • Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout • Deliver results according to project schedules and quality A day in the life 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!

Amazon is looking for creative Applied Scientists to tackle some of the most interesting problems in Articial Intelligence (AI), natural language processing (NLP), search and related areas with our Amazon Books team. At Amazon Books we believe that reading is essential for a healthy society. As such, we aim to inspire readers by making it easy to read more and get more out of reading. We do this by creating an unmatched book discovery experience for our customers worldwide. We enable customers to discover new books, authors and genres through smart search tools, intelligent interactions and sophisticated recommendations, and we need your help to keep innovating in this space. If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you. You will develop and implement novel algorithms and modeling techniques to advance the state-of-the-art in technology areas at the intersection of AI, LLMs, NLP, search, and deep learning. You will innovate, help move the needle for research in these exciting areas and build state-of-the-art technologies that enable delightful experiences for hundreds of millions of people. Key job responsibilities In this role you will: - Work collaboratively with other scientists and developers to design and implement scalable and reliable pipelines for improving our customers' experience discovering and getting the most out of their books; - Drive scalable solutions: from understanding the customer and business needs, to prototyping, production testing and through engineering directly to production; - Drive best practices on the team, deal with ambiguity and competing objectives, and mentor and guide other members to achieve their career growth potential. - Stay up-to-date with the latest technologies and adopt the most appropriate long-term solution to a variety of use cases. A day in the life On a typical day you will: - run experiments. Depending on the stage or project, this may involve designing the experiments, collecting data, training models, prompt/spec engineering/optimization, error analysis, online system analysis, etc. - help drive decisions by interpreting and communicating experimental results with stakeholders (managers, subject matter experts, other scientists, and engineers) and seeking/listening to their feedback. Additionally, you'll attend and contribute to regular meetings, activities and conferences with the wider science team, organization as well as internal and external communities. About the team Books Science, where state-of-the-art AI meets the world of books. We're here to catalyze engineering teams, fuel innovation, and transform the customer experience for readers, authors, and publishers. We: - We take ownership of early-stage project work, including prototyping, analysis, and model development. - Partner with different teams to help them learn about and adopt AI capabilities, be aware of AI limitations and adopt scientific best practices for long-term reusability and quality assurance. - Our team combines broad AI knowledge with individual expertise in specific domains and Amazon Books areas.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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! As an Applied Scientist on this team, you will: - Be a strong contributor to Machine Learning; lending effort within this team and across other teams. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video https://youtu.be/zD_6Lzw8raE

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. The Kuiper Global Capacity Planning team owns designing, implementing, and operating systems that support the planning, management, and optimization of Kuiper network resources worldwide. We are looking for a talented scientist to implement Kuiper’s long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping Kuiper execute on its business plans globally. As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results. Key job responsibilities In this role, you will: Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization. Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources. Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network. Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other. Analyze large amounts of satellite and business data to identify simulation and optimization opportunities. Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Who We Are: 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 technologist, 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! We are the Partner Experience organization in Prime Video, responsible for building cutting edge systems and experiences that enable best in class content management, monetization and analytics for tens of thousands of Prime Video’s 3p partners (Hollywood Studios, Media Houses, Post production houses, content creators). Why it matters: Prime Video is at an inflection point in its journey today as we make a shift from being a prime subscriber benefit to world’s premiere entertainment destination. Our partnership with 3p content creators (aka 3p partners) is paramount in achieving this. In this role, you will be a pioneer in applying the cutting edge ML techniques to world of Entertainment. Your ability to innovate by making use of game changing Generative AI capabilities will materially impact the experience and efficiency of our 3p partners and customers around the world who rely on Prime Video for their streaming needs. Why you’ll love it: You’ll be in unique position to have a view into the entertainment industry, and how we can shape it's supply chain with science investments. This is a high impact, high visibility role where you will work directly with Sr Tech and Science leaders to create customer impacting products using the cutting edge of research. You will be responsible for research that helps Prime Video extract terms from contracts using AI, extract insights from it's catalog, and proactively detect and eliminate defects before they become a problem for our customers. You will be part of a fun, fast paced team that obsesses over the entertainment space. Key job responsibilities You will work with a mix of Front End and Back End engineers, with regular opportunities to work directly with Sr Scientists. You will be responsible for original research that will connect directly to business outcomes such as helping prime video increase our asset collection, automatically read and enforce Prime Video contracts, and proactively detect and act on defects within the Prime Video catalog. You need to be a strong problem solver with a knack of making high judgment trade-offs on a daily basis. Finally, you will be responsible for continuously learning and staying abreast of scientific development relevant to our space, and act as a though leader for the broader team. About the team We are the Partner Experience organization, responsible for building systems and experiences that enable best in class content management, monetization and analytics capabilities for tens of thousands of Prime Video’s 3p partners (Hollywood Studios, Media Houses, Post Production Houses and Content Creators).

About the role: We’re on the precipice of a new era of AI in the enterprise. Customers have deployed “wave 1” genAI applications (e.g., chatbots, summarization, text generation) and are starting to embark on “wave 2”—action-taking agents. In this role, you will lead the GTM efforts for Nova Act, working closely with a boundary-pushing research team (the AGI SF Lab) to drive customer adoption, product iteration, and model improvement for this new product category. About the team We’re a new research lab in San Francisco, currently focused on developing new foundational capabilities for enabling useful AI agents. We’re pursuing several key research bets that will enable AI agents to perform real-world actions, learn from human feedback, self-course-correct, and infer our goals. In particular, we are really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and generalizing agents to physical environments. Our work builds on that of Amazon’s broader AGI team, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs). We’re a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where AI agents are the next playing field; the right research bets can reinvent what’s possible with AI. We’d love for you to join our new lab and build it from the ground up!

The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Agentic AI, Data Science, Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer experiences. As a Senior Data Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging Data Science, Agentic AI, GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. Your expertise will be key in shaping data-driven strategies and addressing complex data challenges. With your expertise in data science, you'll design and develop scalable solutions, prioritize initiatives, drive data-driven insights, and deliver business impact. This position will advance applied data science best practices, leverage data and AI to drive customer experience (CX) improvements, and set new global standards for customer experience. This role requires you to work with a cross-functional team, including scientists, engineers, and product managers, to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technical skills in Data Science, ML, NLP, and GenAI, excellent written documentation skills, and experience with big data technologies. Success in this role requires combining deep business knowledge with hands-on technical skills to solve customer problems and address complex technical challenges. Key job responsibilities - Work closely with business stakeholders to identify data science use cases and build consensus on project priorities based on data availability, scientific applicability, implementation challenges, and business impact. - Develop innovative solutions to complex problems, including the extension of conversational assistant functionalities. - Apply technical expertise to implement novel algorithms and modeling solutions, in collaboration with other scientists and engineers. - Analyze data and define metrics to identify actionable insights and measure improvements in customer experience. - Effectively communicate results and insights to both technical and non-technical audiences through written reports, presentations, and internal/external publications. - Collaborate with product management and engineering teams to integrate and optimize models in production systems. A day in the life A typical day as a Senior Data Scientist in the Data and AI team involves combining business expertise with hands-on technical problem-solving skills. The role encompasses tackling complex data initiatives, ensuring alignment with customer needs and business objectives, and translating business requirements into practical data science and AI-driven solutions. Working collaboratively with cross-functional teams, this position involves designing and enhancing data science models, focusing on efficiency, precision, and scalability. Daily activities include ensuring data quality, monitoring model performance, and generating actionable insights from vast amounts of information. Each day presents opportunities to resolve complex technical challenges, advance important AI projects, and conceive innovative ways to leverage data in transforming the customer experience. About the team The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Agentic AI, Data Science, Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer experiences. 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!