Data Science

We are open to hiring candidates to work out of one of the following locations:Seattle, WA, USAAt Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our mission is to prevent denied entities from transacting with Amazon businesses. We build automatic mechanisms to detect and prevent prohibited transactions with denied entities using a diverse set of algorithms and machine learning techniques. We screen over a billion events every day and develop algorithms which are able to scale and detect suspicious entities . We are still Day 1 and have an exciting road map to build Machine Learning (ML) and Generative AI (LLM) powered detection and resolution systems to help scale Amazon for years to come. We are seeking an outstanding Applied Scientist to join our team and help tackle challenging problems at the forefront of machine learning and artificial intelligence. Working closely with a multidisciplinary team of engineers, data scientists, and domain experts, you will play a crucial role in defining cutting-edge ML/AI-powered customer experiences and solutions. If you have an entrepreneurial mindset, the technical depth to deliver impactful results, and a passion for innovation, we want to hear from you. Key job responsibilitiesIn this role, you will: • Drive the research, design, and development of novel ML/AI models and systems to power critical products and services • Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints • Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback • Communicate complex technical concepts to technical and non-technical stakeholders • Mentor and grow a team of talented ML scientists and engineers • Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques A day in the life1. Starting the day by reviewing the latest model performance metrics and identifying areas for improvement 2. Brainstorming new ML architectures and approaches with your cross-functional team during a whiteboard session 3. Diving deep into a complex dataset, leveraging advanced statistical and ML techniques to uncover hidden insights 4. Prototyping a new ML model and running a series of experiments to optimize its performance 5. Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders 6. Mentoring a junior data scientist, providing guidance on coding best practices and problem-solving strategiesAbout the teamWhy Amazon SecurityAt Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Inclusive Team CultureIn Amazon Security, 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 security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 4+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

The Private Brands Discovery team designs innovative machine learning solutions to drive customer awareness for Amazon’s own brands and help customers discover products they love. Private Brands Discovery is an interdisciplinary team of Scientists and Engineers, who incubate and build disruptive solutions using cutting-edge technology to solve some of the toughest science problems at Amazon. To this end, the team employs methods from Natural Language Processing, Deep learning, multi-armed bandits and reinforcement learning, Bayesian Optimization, causal and statistical inference, and econometrics to drive discovery across the customer journey. Our solutions are crucial for the success of Amazon’s own brands and serve as a beacon for discovery solutions across Amazon.This is a high visibility opportunity for someone who wants to have business impact, dive deep into large-scale problems, enable measurable actions on the consumer economy, and work closely with scientists and engineers. As a scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.. With a focus on bias for action, this individual will be able to work equally well with Science, Engineering, Economics and business teams. Key job responsibilities- Drive applied science projects in machine learning end-to-end: from ideation over prototyping to launch. For example, starting from deep scientific thinking about new ways to support customers’ journeys through discovery, you analyze how customers discover, review and purchase Private Brands to innovate marketing and merchandising strategies. - Propose viable ideas to advance models and algorithms, with supporting argument, experiment, and eventually preliminary results. - Invent ways to overcome technical limitations and enable new forms of analyses to drive key technical and business decisions. - Present results, reports, and data insights to both technical and business leadership. - Constructively critique peer research and mentor junior scientists and engineers. - Innovate and contribute to Amazon’s science community and external research communities.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

We are open to hiring candidates to work out of one of the following locations:Annapolis Junction, MD, USA | Arlington, VA, USAWe're seeking an exceptional technical leader to drive the evolution of AWS's threat response capabilities through the application of machine learning, large reasoning models, large-scale data analytics, and security engineering. In this role, you'll deliver advancements that protect AWS infrastructure and our customers at global scale.Key job responsibilitiesDesign and operationalize next-generation threat detection systems that process peta-scale security datasets while maintaining high precision/recall- Lead automated threat hunting and detection engineering initiatives- Transform threat intelligence into actionable detection logic and machine learning models- Drive innovation in security data science, developing novel approaches to identify sophisticated threats- Mentor and provide technical leadership, scaling your impact through other engineers and scientists- Partner with AWS service teams to implement detection capabilities across AWS's infrastructureA day in the lifeWe are AWS's automated immune system, building intelligent defenses that protect millions of customers and the broader Internet community. Our mission is to counteract automated threats to AWS and its customers through prevention, detection, and response at cloud scale.About the teamDiverse ExperiencesAmazon Security 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 Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security 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 storesInclusive Team CultureIn Amazon Security, 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 security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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.BASIC QUALIFICATIONS- Extensive experience in security engineering, data science, or software development- Proven track record building and operating petabyte-scale distributed systems- Expertise in multiple programming languages (e.g., Python, Rust, Java)- Experience applying ML/AI to real-world security problems- Strong background in threat detection, security response, or threat intelligence- Master's degree in Computer Science, Engineering, Mathematics, or related field ...

The Data Science Manager in Natural Language Processing (NLP) within the Customer Engagement Technology, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing, evaluating, and deploying solutions based on large pre-trained language models into conversational Artificial Intelligence (AI) systems that can understand and communicate with customers in a natural and contextually appropriate manner.This involves model development in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model.Key job responsibilities- Lead a data science team to accelerate the development and deployment of chatbot scaling. This team will play a pivotal role in optimizing Human-in-the-Loop (HITL) tasks.- Implement state-of-the-art Natural Language Processing (NLP) and Machine Learning (ML) models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment.- Collaborate with cross-functional teams, including applied scientists, software engineers, and product managers, to integrate Large Language Model (LLM)-based solutions into Amazon's customer service platforms.- Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.- Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.- Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environmentIf 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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanAbout the teamJoin our team of scientists and engineers who develop and deploy Large Language Model (LLM)-based solutions systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- 5+ years of building quantitative solutions as a scientist or science manager experience- 2+ years of scientists or machine learning engineers management experience- Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Knowledge of Python or R or other scripting language- Experience working with scientists, economists, software developers, or product managers- 5+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience- Experience applying theoretical models in an applied environment ...

Supply Chain Innovation (SCI) Amazon Warehousing and Distribution (AWD) is seeking an experienced candidate to identify, create, develop and integrate innovative solutions and programs that lead to improvements in our warehousing and distribution network. This position will lead the development and execution of new logistics initiatives designed to improve overall efficiency and meet the ever-growing demand for storage of bulk inventory in our strategically located distribution centers. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution.Key job responsibilities• Retrieving and analyzing data using Excel, SQL, Access and other data management systems• Writing high quality SQL codes to retrieve and analyze data• Monitoring existent metrics, analyzing data and partnering with internal teams to identify process and system improvement opportunities• Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions• Manage complex calendars and scheduling with diplomacy and discretion, manage domestic travel, expense report coordination and submission, and organize, execute, and assist with team activities• Drive small to medium operational enhancement projects• Excellent problem-solving, task prioritization, follow-up, and customer service skills**This role may be required to work nights, weekends, and holidays**BASIC QUALIFICATIONS- Bachelor’s degree in Business, STEM, Operations, Finance, or related field- Experience in a business analyst, data analyst or statistical analysis role- Experience with Tableau, AWS QuickSight, Power BI, or other data visualizations software- Experience with Excel, Access, SQL, Perl, R, Python or other scripting languages- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)- Experience managing large data sets and utilizing to drive performance and process improvements ...

Amazon co-ops are full-time positions, and co-op students should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Students should not have conflicts such as classes or other employment during the Amazon work-day.Applicants must be currently enrolled in a co-op program at their school in the US, and should have a minimum of one quarter/semester/trimester remaining in their studies after their co-op concludes. By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer. Start dates for our co-ops in this posting include the following period:Fall (Starts August/September 2025)Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?If this describes you, Amazon is looking for a Data Engineer Co-op to join one our many lines of business. Amazon co-ops have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.Key job responsibilitiesDuring a Data Engineer Co-op, you will/may:● Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.● Design data schema and operate internal data warehouses and SQL/NoSQL database systems.● Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.● Monitor and troubleshoot operational or data issues in the data pipelines.● Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.● Develop code based automated data pipelines able to process millions of data points.● Improve database and data warehouse performance by tuning inefficient queries.● Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.● Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problemA day in the lifeWe’re on the lookout for the curious, those who think big and want to define the world of tomorrow.At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.BASIC QUALIFICATIONS- Are enrolled in a co-op program at your university- Experience with database, data warehouse or data lake solutions- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell)- Are 18 years of age or older- Experience with data transformation.- Currently working towards a Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Information Management, Information Systems, or other equivalent discipline, with an expected conferral date between March 2026 – December 2028. ...

Amazon Ads operates at the intersection of e-commerce and advertising, offering a rich array of digital advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon owned and operated sites and on other high quality sites across the web. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising product with a relentless focus on the customer, you’ve come to the right place.Open to hiring in NYC, Seattle, and Santa Monica.Key job responsibilities* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.* Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.* Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.* Support central BI team in reporting on global marketing efforts.* Promote best practices in ETL and mentor your team.A day in the life* Use technical expertise to suggest ways to improve processes and incorporate operational excellence best practices* Use analytical and statistical rigor to answer business questions and drive business decisions* Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation* Improve the Knowledge management environment by providing guidance in technical documentation / working papersBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...