Careers

Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities - You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. - You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. - Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. - You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. - You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. - You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. - You set standards and proactively drive components to use and improve on state-of-the-art techniques. - You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals.

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. We are seeking a highly skilled and analytical Data Scientist. You will play an integral part in the Finance and marketing workstreams. You will have the opportunity to work with rich datasets together with the marketing and finance managers. This role will focus on developing and implementing causal and econometric models for financials and marketing effectiveness and inform strategic decision-making as well as financial planning. This role is suitable for candidates with strong background in causal inference, statistical analysis, and data-driven problem-solving, with the ability to translate complex data into actionable insights. Key job responsibilities Develop Causal Models Design, build, and validate causal models to evaluate the impact of marketing campaigns and initiatives. Leverage advanced statistical methods to identify and quantify causal relationships. Build forecasting models to predict business outcomes Conduct Randomized Controlled Trials Design and implement randomized controlled trials (RCTs) to rigorously test the effectiveness of marketing strategies. Ensure robust experimental design and proper execution to derive credible insights. Statistical Analysis and Inference Perform complex statistical analyses to interpret data from experiments and observational studies. Use statistical software and programming languages to analyze large datasets and extract meaningful patterns. Data-Driven Decision Making Collaborate with finance and marketing teams to provide data-driven recommendations. Present findings and insights to stakeholders in a clear and actionable manner. Collaborative Problem Solving Work closely with cross-functional teams, including marketing, finance, product, and engineering, to identify key business questions and develop analytical solutions. Foster a culture of data-informed decision-making across the organization. Stay Current with Industry Trends Keep abreast of the latest developments in data science, causal inference, forecasting and marketing analytics. Apply new methodologies and technologies to improve the accuracy and efficiency of marketing measurement. Documentation and Reporting Maintain comprehensive documentation of models, experiments, and analytical processes. Prepare reports and presentations that effectively communicate complex analyses to non-technical audiences.

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), Computer Vision, Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies. As a Senior Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. With your expertise will be key in shaping data-driven strategies and addressing complex data challenges. With expertise in AI, text analysis, and embedding, language modeling, and generation, you'll design and develop scalable AI-powered technology solutions, prioritize initiatives, drive data-driven insights, and deliver business impact. This position will advance applied science best practices, leverage data and AI to drive customer experience (CX) improvements, and set new global standards for customer experience. This role requires working with a cross-functional team including scientists, engineers, and product management to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technological skills in ML, NLP, and GenAI, excellent written documentation skills, and experience with big data technologies. You should care deeply about customers and stive to deliver customer value through applied science. You should work well in a fast-paced setting, using your skills to create effective solutions. With a combination of deep business know-how and hands-on skills, you will tackle complex challenges and drive continuous improvement. Key job responsibilities - Apply technical expertise and experience to demonstrate leadership in tackling large, complex problems. - Set the direction and collaborate with other talented applied scientists and engineers to research and develop AI modeling and engineering techniques that reduce friction and enable scientific solutions for products. - Analyze, understand, and improve customer experiences by leveraging Amazon's data sources and large-scale computing resources to accelerate advances in AI. Your work will directly impact our customers through novel products and services. - Lead communications with stakeholders and leadership to demonstrate business impact and earn trust. - Participate in the science hiring process. Mentor and develop other scientists by improving their technical skills, solution knowledge, and operational effectiveness. Come join a team of bright, passionate, and customer-obsessed individuals who are having fun and making history. We would love to talk to you! A day in the life A typical day for an Applied Scientist in the Customer Service's Data and AI team involves a combination of gaining business know-how with hands-on problem-solving in NLP and GenAI. You'll tackle complex data initiatives, ensuring alignment with customer needs and business objectives, and translate business requirements into practical AI-driven solutions. Collaborating with cross-functional teams, you'll design and enhance AI models, focusing on efficiency, precision, and scalability. You'll mentor team members, fostering skill growth and encouraging innovative solutions. Your day will involve ensuring data quality, model performance, and generating actionable insights from vast amounts of information. By the end of the day, you will have typically resolved complex technical issues, advanced important AI projects, and conceived new ideas to improve how Amazon utilizes data to transform the customer experience. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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 Generative AI (GenAI), Computer Vision, Machine Learning, Ontologies, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.

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), Computer Vision, Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. With your expertise will be key in shaping data-driven strategies and addressing complex data challenges. With expertise in AI, text analysis, and embedding, language modeling, and generation, you'll design and develop scalable AI-powered technology solutions, prioritize initiatives, drive data-driven insights, and deliver business impact. This position will advance applied science best practices, leverage data and AI to drive customer experience (CX) improvements, and set new global standards for customer experience. This role requires working with a cross-functional team including scientists, engineers, and product management to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technological skills in ML, NLP, and GenAI, excellent written documentation skills, and experience with big data technologies. You should care deeply about customers and stive to deliver customer value through applied science. You should work well in a fast-paced setting, using your skills to create effective solutions. With a combination of deep business know-how and hands-on skills, you will tackle complex challenges and drive continuous improvement. Key job responsibilities - Develop innovative solutions to complex problems (e.g., extending the functionalities of conversational assistants ). - 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. - Communicate results and insights to both technical and non-technical audiences through written reports, presentations, and both internal/external publications. - Collaborate with product management and engineering teams to integrate and optimize models in production systems. Come join a team of bright, passionate, and customer-obsessed individuals who are having fun and making history. We would love to talk to you! A day in the life A typical day for an Applied Scientist in the Customer Service's Data and AI team involves a combination of gaining business know-how with hands-on problem-solving in NLP and GenAI. You'll tackle complex data initiatives, ensuring alignment with customer needs and business objectives, and translate business requirements into practical AI-driven solutions. Collaborating with cross-functional teams, you'll design and enhance AI models, focusing on efficiency, precision, and scalability. Your day will involve ensuring data quality, model performance, and generating actionable insights from vast amounts of information. By the end of the day, you will have typically resolved complex technical issues, advanced important AI projects, and conceived new ideas to improve how Amazon utilizes data to transform the customer experience. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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 Generative AI (GenAI), Computer Vision, Machine Learning, Ontologies, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.

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), Computer Vision, Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. With your expertise will be key in shaping data-driven strategies and addressing complex data challenges. With expertise in AI, text analysis, and embedding, language modeling, and generation, you'll design and develop scalable AI-powered technology solutions, prioritize initiatives, drive data-driven insights, and deliver business impact. This position will advance applied science best practices, leverage data and AI to drive customer experience (CX) improvements, and set new global standards for customer experience. This role requires working with a cross-functional team including scientists, engineers, and product management to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technological skills in ML, NLP, and GenAI, excellent written documentation skills, and experience with big data technologies. You should care deeply about customers and stive to deliver customer value through applied science. You should work well in a fast-paced setting, using your skills to create effective solutions. With a combination of deep business know-how and hands-on skills, you will tackle complex challenges and drive continuous improvement. Key job responsibilities - Develop innovative solutions to complex problems (e.g., extending the functionalities of conversational assistants ). - 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. - Communicate results and insights to both technical and non-technical audiences through written reports, presentations, and both internal/external publications. - Collaborate with product management and engineering teams to integrate and optimize models in production systems. Come join a team of bright, passionate, and customer-obsessed individuals who are having fun and making history. We would love to talk to you! A day in the life A typical day for an Applied Scientist in the Customer Service's Data and AI team involves a combination of gaining business know-how with hands-on problem-solving in NLP and GenAI. You'll tackle complex data initiatives, ensuring alignment with customer needs and business objectives, and translate business requirements into practical AI-driven solutions. Collaborating with cross-functional teams, you'll design and enhance AI models, focusing on efficiency, precision, and scalability. Your day will involve ensuring data quality, model performance, and generating actionable insights from vast amounts of information. By the end of the day, you will have typically resolved complex technical issues, advanced important AI projects, and conceived new ideas to improve how Amazon utilizes data to transform the customer experience. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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 Generative AI (GenAI), Computer Vision, Machine Learning, Ontologies, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.

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), Computer Vision, Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. With your expertise will be key in shaping data-driven strategies and addressing complex data challenges. With expertise in AI, text analysis, and embedding, language modeling, and generation, you'll design and develop scalable AI-powered technology solutions, prioritize initiatives, drive data-driven insights, and deliver business impact. This position will advance applied science best practices, leverage data and AI to drive customer experience (CX) improvements, and set new global standards for customer experience. This role requires working with a cross-functional team including scientists, engineers, and product management to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technological skills in ML, NLP, and GenAI, excellent written documentation skills, and experience with big data technologies. You should care deeply about customers and stive to deliver customer value through applied science. You should work well in a fast-paced setting, using your skills to create effective solutions. With a combination of deep business know-how and hands-on skills, you will tackle complex challenges and drive continuous improvement. Key job responsibilities - Develop innovative solutions to complex problems (e.g., extending the functionalities of conversational assistants ). - 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. - Communicate results and insights to both technical and non-technical audiences through written reports, presentations, and both internal/external publications. - Collaborate with product management and engineering teams to integrate and optimize models in production systems. Come join a team of bright, passionate, and customer-obsessed individuals who are having fun and making history. We would love to talk to you! A day in the life A typical day for an Applied Scientist in the Customer Service's Data and AI team involves a combination of gaining business know-how with hands-on problem-solving in NLP and GenAI. You'll tackle complex data initiatives, ensuring alignment with customer needs and business objectives, and translate business requirements into practical AI-driven solutions. Collaborating with cross-functional teams, you'll design and enhance AI models, focusing on efficiency, precision, and scalability. Your day will involve ensuring data quality, model performance, and generating actionable insights from vast amounts of information. By the end of the day, you will have typically resolved complex technical issues, advanced important AI projects, and conceived new ideas to improve how Amazon utilizes data to transform the customer experience. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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 Generative AI (GenAI), Computer Vision, Machine Learning, Ontologies, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.

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), Computer Vision, Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation in Amazon Customer Service globally, leveraging GenAI, ML, and/or NLP to transform complex business requirements and customer needs into innovative technology solutions. With your expertise will be key in shaping data-driven strategies and addressing complex data challenges. With expertise in AI, text analysis, and embedding, language modeling, and generation, you'll design and develop scalable AI-powered technology solutions, prioritize initiatives, drive data-driven insights, and deliver business impact. This position will advance applied science best practices, leverage data and AI to drive customer experience (CX) improvements, and set new global standards for customer experience. This role requires working with a cross-functional team including scientists, engineers, and product management to develop scalable and maintainable AI solutions for both structured and unstructured data. The ideal candidate has strong technological skills in ML, NLP, and GenAI, excellent written documentation skills, and experience with big data technologies. You should care deeply about customers and stive to deliver customer value through applied science. You should work well in a fast-paced setting, using your skills to create effective solutions. With a combination of deep business know-how and hands-on skills, you will tackle complex challenges and drive continuous improvement. Key job responsibilities - Develop innovative solutions to complex problems (e.g., extending the functionalities of conversational assistants ). - 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. - Communicate results and insights to both technical and non-technical audiences through written reports, presentations, and both internal/external publications. - Collaborate with product management and engineering teams to integrate and optimize models in production systems. Come join a team of bright, passionate, and customer-obsessed individuals who are having fun and making history. We would love to talk to you! A day in the life A typical day for an Applied Scientist in the Customer Service's Data and AI team involves a combination of gaining business know-how with hands-on problem-solving in NLP and GenAI. You'll tackle complex data initiatives, ensuring alignment with customer needs and business objectives, and translate business requirements into practical AI-driven solutions. Collaborating with cross-functional teams, you'll design and enhance AI models, focusing on efficiency, precision, and scalability. Your day will involve ensuring data quality, model performance, and generating actionable insights from vast amounts of information. By the end of the day, you will have typically resolved complex technical issues, advanced important AI projects, and conceived new ideas to improve how Amazon utilizes data to transform the customer experience. If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan 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 Generative AI (GenAI), Computer Vision, Machine Learning, Ontologies, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.

Do you want to lead the Ads industry and redefine how we measure the effectiveness of the WW Amazon Ads business? Are you passionate about causal inference, raising the science bar, and connecting leading-edge science research to Amazon-scale implementation? If so, come join Amazon Ads to lead our Advertising Incrementality Measurement science team! Key job responsibilities As the leader of Advertising Incrementality Measurement (AIM) science team, you are responsible for defining and executing on our causal measurement science vision. You will lead teams of Applied Scientists, Economists, and Data Scientists to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable causal measurement solutions that support highly accurate and actionable causal insights--from defining and executing hundreds of thousands of RCTs, to building and scaling Deep Neural Nets and other leading ML models. You will solve hard problems, advance science at Amazon, and be the leading innovator in the causal measurement of advertising effectiveness. In this role, you will work with a team of applied scientists, economists, engineers, product managers, and UX designers to define and build the future of advertising causal measurement. You will be working with massive data, a dedicated engineering team, and industry-leading partner scientists. Your team’s work will help shape the future of Amazon Advertising.

This position gives you an opportunity to build metrics that shape Amazon's catalog initiatives world wide. If that rings a bell and if you possess the confidence to navigate through early stage ambiguities, read on. Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world’s largest e-Commerce products catalog - it powers the online buying experience for customers worldwide so they can find, discover and buy anything they want. Amazon’s customers rely on the completeness, consistency and correctness of Amazon's product data to make well-informed purchase decisions. Improving the quality of product data is a continuous process. It requires data driven decisions on what product data changes simplify and improve the Customers’ experience. Our team seeks a Sr. Applied Scientist with demonstrated experience in experimentation techniques and causal inference at scale. Our problems include attributing values to actions in complex world of catalog information driving customer behavior. The ideal candidate combines acumen in data science and causal modeling to grapple with these and other challenges and guide decision-making at the highest levels. This is an opportunity to influence catalog quality improvements across Amazon. Key job responsibilities 1. Build models to attribute customer impact to specific LLM generated product data quality improvements. You will need high judgment for balancing cost efficiency of your models with accuracy of the estimates. 2. Partner with Product Managers and Engineering to build and scale new customer experience metrics 3. Build new business metrics in the A/B experimentation platform 4. Guide quality improvement programs by generating actionable insights About the team We enable teams across Amazon to run A/B experiments on product listings through Catalog Experimentation Program. Additionally, using experimentation and causal inference models, we build customer impact metrics for different experiences in Amazon stores world wide. We help Catalog data quality initiatives understand the customer impact of their work streams and influence their priorities to maximize customer benefits.

The Planning and Execution team (PLEX) is looking for a Data Scientist to provide analytical support to planning and execution activities throughout North America. PLEX is comprised of high-powered dynamic teams, which are shaping network execution through the development and application of innovative labor & flow planning mechanisms. Our goal is to improve and enhance the Amazon Fulfillment network to ultimately drive the best customer experience in a reliable and cost-efficient manner that is truly world-class. Creating reliable & scalable forecasting techniques requires a sound understanding of the data and creation of quality input for ML models . Your data analytics will influence the performance of all North America Amazon Fulfillment networks. You will be working on large-scale data-sets and leverage your knowledge in advanced data analysis, ML, statistics, and other scientific tools to provide detailed insights that help scientists in the team to create accurate time-series forecasting models and other value-added research to the business. You will contribute in building scalable scientific models & algorithms and provide visualizations to drive data insight. You will own & drive the strategic insights and recommendations for the business that plays a key role in labor planning. We are looking for a passionate scientist with a commitment to teamwork. Successful candidates will have a deep knowledge of statistical and data analysis techniques to examine complex massive data. You will have the communication skills necessary to impact and influence leadership & partner teams through technical writings, presentations and discussions. You will learn a lot, grow, and have fun in the process! Innovation Opportunities & Career Growth Our business grows fast and we want our employees growing with it too. We provide constant opportunities for growth in our team through regular training, talent development, mentoring, and mechanisms conducive to incubating ideas from the bottom up to showcase your innovations. Inclusive Team Culture Here at Amazon, we promote an inclusive and engaging environment. We understand the strength that unique experiences bring to the team and value it. In our team, we uphold that all individuals should feel included, respected, and developed. Flexibility It's not the hours that you put into work matters, rather it's the quality of work that you put in. We provide flexibility and support to help you find a balance between your work and personal lives. This position will be based in Austin, TX We are open to hiring candidates to work out of one of the following locations: - Austin, TX - Bellevue, WA - Nashville, TN - New York, NY Key job responsibilities - Design and implement advanced forecasting models to optimize fulfillment network operations - Develop scalable ML models and algorithms for time-series forecasting - Analyze large-scale complex data to make decisions in scientific research projects - Create visualization tools to provide detailed insights into the data and end-to-end systems that drive strategic decisions in the business - Lead & partner with research, data engineering and product teams to perform mathematical & statistical research for labor & flow planning and optimization - Simplify the scientific methodology and data analysis by navigating through the technology complexities, explaining them in plain customer and business context to our partners & customers. - Lead & partner with software and product teams to support productization and integration of mathematical models and enhanced logic into portal-based tools About the team PLEX-SIA (Science, Intelligence, & Analytics) serves as the research, automation, and insight arm of the Planning & Execution team of NA Supply Chain org. PLEX-SIA identifies technical gaps, analytical opportunities, and complex operational and planning trends within NACF, in order to action them strategically and sustainably. PLEX-SIA Science team is the science wing of PLEX-SIA that specifically focuses on the creation, improvement, and automation of labor planning models and processes. This is achieved through AI and ML modeling, scientific analysis of existing processes, and optimization techniques. Science team partners with tech & non-tech partners to improve existing tech solutions and provide data driven recommendations for strategic model implementations.