Careers

Employer: Amazon Web Services, Inc. Position: Data Scientist II - AMZ27022.1 Location: San Diego, CA Multiple Positions Available: Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. (40 hours / week, 8:00am-5:00pm, Salary Range $136000 - $184000) Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (https://press.aboutamazon.com/2023/6/aws-announces- generative-ai-innovation-center). GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GenAIIC, you'll partner with technology and business teams to build new generative AI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. The candidate must ne be able to drive discussions with senior technical and management personnel within customers and partners while hacing technical background that enables them to interact with and give guidance to AI scientists/engineers and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. Key job responsibilities You will work directly with customers to drive adoption and shape the future of the most exciting emerging technology by understanding the business problem and guiding our customers in implementation of generative AI solutions, and developing long-term strategic relationships with key accounts You will help develop the industry’s best generative AI delivery team by enabling and coaching your specialist team on best practices and how to create and present value-driven architectures of widely varying size and complexity. You will grow an existing team by hiring, on-boarding, training, and developing new Scientists, Architects, and Engineers from internal and external sources. You will identify opportunities for building reusable technical assets/solutions/products based on recurring patterns of customer needs You will provide customer and market feedback to Product and Engineering teams to help define product direction You will drive revenue growth across a broad set of customers You will be a thought leader and drive value creation for our customers, shaping technical solutions, growing the team, and leading specific customer engagements You will deliver briefing and deep dive sessions to customers and guide customers on adoption patterns and paths to production About the team The GenAI Innovation Center helps customers define and execute AI Strategy, scope and develop use cases that will create the greatest value for their businesses, select/develop/customise/fine-tune the right models, define paths to navigate technical or business challenges, and make plans for launching solutions at scale, responsibly and cost efficiently

Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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.

Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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.

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 and advertising? Prime Video's technology teams are creating best-in-class digital video experiences, and our Advertising Product & Technology organization is at the forefront of revolutionizing the streaming advertising landscape. The Prime Video Advertising team delivers ad tech solutions that power Prime Video's rapidly growing advertising business across video-on-demand (VOD), live streaming, and display ads—delivering value to both advertisers and viewers worldwide. We focus on critical areas including ad delivery, machine learning-driven optimization, experimentation, audience measurement, and generative AI-powered ad creative solutions. We are seeking a Senior Manager, Applied Science to lead a team of scientists and engineers building machine learning and AI solutions that directly impact Prime Video's advertising business. In this role, you will own the science strategy and execution for key workstreams including: - Ad Load Optimization – Balancing advertising revenue with viewer engagement through sophisticated ML models that determine optimal ad frequency, placement, and duration - Yield Optimization – Maximizing advertising revenue through intelligent allocation, pricing, and forecasting models - Experimentation & Metrics – Designing and scaling experimentation frameworks and causal inference methods to measure the impact of advertising decisions on both business outcomes and customer experience - Ad Creative Generation & Augmentation – Leveraging generative AI to create, personalize, and enhance ad creatives at scale As a leader of leaders, you will set the 3-5 year scientific vision for your organization, build and develop a high-performing team of senior scientists and managers, and drive large-scale ML/AI initiatives that inform strategic decisions for one of the world's largest streaming advertising platforms. You will collaborate closely with engineering, product, and business teams to translate complex scientific capabilities into measurable business impact during a period of rapid growth with a path to $10B in advertising revenue. This role offers the unique opportunity to shape the science strategy for a new and fast-growing business, working at the intersection of machine learning, generative AI, causal inference, and advertising technology at Internet scale.

We are building the next generation of autonomous AI agents that enable Amazon customers to seamlessly discover and purchase products across the open web. Our systems operate in highly dynamic real-world environments, navigating thousands of third-party merchant experiences with production-grade reliability, scalability, and safety. This role sits at the intersection of Agentic AI, LLMs, reinforcement learning, multimodal reasoning, and large-scale distributed systems. As an Applied Scientist, you will help define the science and architecture powering internet-scale web agents and autonomous purchasing systems. In this role, you will: - Work on autonomous AI agents operating in open-world environments rather than static benchmarks. - Solve challenging research problems at the intersection of LLMs, web interaction, multimodal reasoning, and scalable systems. - Influence products that directly impact millions of Amazon customers. - Build systems that must generalize across thousands of constantly evolving third-party websites. - Partner closely with science, engineering, and product leaders to shape the future of AI-powered shopping experiences. - Have the opportunity to publish research, file patents, and contribute to Amazon-wide AI innovation. Key job responsibilities - Design scalable evaluation and benchmarking systems for autonomous agents operating in dynamic web environments. - Develop techniques for robust agent planning, error recovery, and adaptation under distribution shift. - Build multimodal AI systems that reason over screenshots, DOM structures, user intent, and interaction trajectories. - Lead scientific direction for agent reliability, task completion, and customer trust. - Mentor scientists and engineers on advanced AI methodologies and experimentation. About the team The Buy For Me purchasing team owns the mission of completing customer purchases on off-amazon sites through both deterministic protocols and agentic methods. This role is with the agentic purchase team which is comprised of both SDEs and Applied Scientists working closely on production agents and offline capabilities to explore off-amazon sites, validate purchasing quality and onboard new sites to the Buy For Me program.

Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty. Key job responsibilities The successful candidate will: - Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation. - Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact. - Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience. - Develop strategic plans to identify fundamentally new solutions for business problems. - Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues. A day in the life This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact. About the team Diverse Experiences Amazon Automated Reasoning values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why Amazon Automated Reasoning? At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores. Inclusive Team Culture In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training & 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, training, 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.

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. As a Data Scientist on our team, you'll analyze complex data, develop statistical methodologies, and provide critical insights that shape how we optimize our solutions. Working closely with our Applied Science team, you'll help build robust analytical frameworks to improve healthcare outcomes. This role offers a unique opportunity to impact healthcare through data-driven innovation. Key job responsibilities In this role, you will: - Analyze complex healthcare data to identify patterns, trends, and insights - Develop and validate statistical methodologies - Create and maintain analytical frameworks - Provide recommendations on data collection strategies - Collaborate with Applied Scientists to support model development efforts - Design and implement statistical analyses to validate analytical approaches - Present findings to stakeholders and contribute to scientific publications - Work with cross-functional teams to ensure solutions are built on sound statistical foundations - Design and implement causal inference analyses to understand underlying mechanisms - Develop frameworks for identifying and validating causal relationships in complex systems - Work with stakeholders to translate causal insights into actionable recommendations A day in the life You'll work with large-scale healthcare datasets, conducting sophisticated statistical analyses to generate actionable insights. You'll collaborate with Applied Scientists to validate model predictions and ensure statistical rigor in our approach. Regular interaction with product teams will help translate analytical findings into practical improvements for our services. About the team We represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.

The DSP (Delivery Service Partner) Offer & Expansion team is part of the Last Mile Product and Technology organization and is responsible for designing, launching, and managing the strategy of the Delivery Service Partner (DSP) program around the world across all of its various use cases. As a critical member of the actuarial data science team, this position will be responsible for driving our capabilities around pricing, performance drivers, and portfolio economics. You will work backwards from business problems to create models and solutions to define the pricing and structure of our global product offerings. Partnering with our single-threaded leader product leads, help to develop and build core processes to monitor market trends, competitors, and performance to optimize our products. Key job responsibilities Develop sophisticated pricing models that capture market trends, competitive landscapes, and performance drivers Create comprehensive economic analyses to inform strategic product decisions Design and implement advanced statistical methodologies to evaluate and optimize product offerings Collaborate with product leads to translate complex data insights into actionable business strategies Build robust monitoring processes to track market dynamics and competitive intelligence A day in the life Your day will be a dynamic blend of data exploration, strategic analysis, and collaborative problem-solving. You'll dive deep into complex datasets, develop predictive models, and translate intricate financial insights into actionable business strategies. Expect to engage with cross-functional teams, challenge existing assumptions, and contribute to product development.

Excited by the disruptive potential of quantum technology? Want to innovate on behalf of our customers to build quantum computing tools for the cloud? Thrilled to be key part of Amazon, who has been investing in disruptive innovation for decades, pioneering and shaping the world’s technology? Amazon Braket is looking for Applied Scientists in quantum computing to join an exceptional team of researchers and engineers. Quantum computing is rapidly emerging from the realms of science-fiction, and our customers can the see the potential it has to address their challenges. One of our missions at AWS is to give customers access to the most innovative technology available and help them continuously reinvent their business. Quantum computing is a technology that holds promise to be transformational in many industries, and with Amazon Braket we are adding quantum computing resources to the toolkits of every researcher and developer. As the technical lead for fault-tolerant quantum compilation, you'll own the full stack that transforms high-level quantum programs into optimized instructions that run on real hardware. You will play a key role in shaping the development roadmap of the service, and evangelizing new features and capabilities. Most importantly, you will work closely with our quantum computing research teams, as well as industry and academic partners. Our team collaborates across the entire AWS organization to get drive innovation and deliver the right solutions to our customers. A successful candidate will be a person who enjoys diving deep into customer problems, conducting independent research and development, working across teams with academic and industry experts, shaping the long-term QC strategy for AWS, and deliver the tools and systems that make useful quantum computing a reality for our customers. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of QC. Key job responsibilities - Own the technical vision and roadmap for the quantum compilation toolchain - Lead and grow a team of applied scientists and software engineers; set the bar for scientific rigor and engineering quality - Design compilation passes that minimize resource overhead for fault-tolerant quantum architectures - Collaborate with hardware, algorithms, and applications teams to co-design the compiler around real device constraints and customer workloads - Publish research and open-source contributions that advance the state of the art and attract world-class talent About the team Amazon Braket is the quantum computing service by AWS. We give researchers, developer, and enterprises access to quantum hardware and the tools to build on it. Our goal is to make quantum computing a core part of the AWS accelerated compute portfolio. The compilation team sits at the center of Braket's technical stack — bridging the gap between what customers write and what future fault-tolerant hardware executes. You'll work alongside hardware teams, scientists designing error correction protocols, and engineers building the service that bring these capabilities to our customers.