Research Scientist 3, Genomics - Department of Genome Sciences University of WashingtonResearch Scientist 3, Genomics - Department of Genome SciencesSeattle, WAAbout Genome Sciences: The Department of Genome Sciences (GS) is part of the University of Washington School of Medicine (UW SoM) and is comprised of 34 labs addressing leading edge questions in biology and medicine by developing and applying genetic, genomic, and computational approaches taking advantage of genomic information now available for a host of species. Reporting to the NWGC Director of Operations, the Research Scientist 3 will conduct laboratory research focusing on the identification of DNA variation in human populations in a high-throughput genomics laboratory in the Department of Genome Sciences.
Data Scientist II, Selection Growth Science Amazon.com IncData Scientist II, Selection Growth ScienceSeattle, WAAs a successful data scientist on our talented team of scientists and economists, you will leverage the latest technology to solve complex problems, and collaborate with engineering, research, and business teams to deliver seller-centric experience on behalf of sour sellers. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).
Data Scientist , AMXL Worldwide Science Amazon.com IncData Scientist , AMXL Worldwide ScienceBellevue, WAA typical week might involve whiteboarding a new forecasting approach with a senior scientist, partnering with engineers to push a model into production, deep-diving into operational data to understand why a metric moved, or presenting your findings to business leaders who will act on them. In this role, you will leverage large-scale operational data to develop and deploy predictive models and optimization solutions that solve real-world logistics and fulfillment challenges, partnering closely with scientists, engineers, and business stakeholders.
Patent Prosecution Associate – Life Sciences / Biotechnology – Seattle Plug LegalPatent Prosecution Associate – Life Sciences / Biotechnology – SeattleSeattle, WA$310,000–$390,000 / yearThis is a highly strategic role where you will be directly involved in building and managing high-value patent portfolios, drafting complex applications for breakthrough therapeutics, and conducting critical freedom-to-operate (FTO) and patentability analyses. You will work alongside recognized leaders in the life sciences space who invest in your development, ensuring you gain the strategic advisory skills necessary to transition from an associate who executes work to a trusted advisor who commands a room.
Data Scientist, SPX AI Lab, SPX Science Amazon.com IncData Scientist, SPX AI Lab, SPX ScienceSeattle, WAWe strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon's policies and taking actions to grow their business. It is powered by the latest advances in Generative AI, going beyond a typical chatbot to provide an intuitive, intelligent, agentic and personalized experience to sellers running real businesses, large and small.
Sr Data Scientist, SPX AI Lab, SPX Science Amazon.com IncSr Data Scientist, SPX AI Lab, SPX ScienceSeattle, WAYou will partner with top-tier scientist, engineers and product teams to launch production-grade agentic capabilities at Amazon"s scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce - not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide.
Data Scientist II, Middle Mile Transportation Science team Amazon.com IncData Scientist II, Middle Mile Transportation Science teamBellevue, WAThe NASC & TOM Science team owns Operations Research, Machine Learning, and AI projects across the North America Sort Center (NASC) and Transportation Operations Management (TOM) planning and operations organizations. As a Data Scientist II, you will own the end-to-end Machine learning Operation cycle: Design, build, and ship machine learning and/or optimization models that directly shape Amazon"s middle miles planning decisions.
NewPrincipal Data Scientist, Core Shopping Data Science Amazon.com IncPrincipal Data Scientist, Core Shopping Data ScienceSeattle, WAAs Principal Data Scientist, you will own the analytical rigor behind Amazon"s store quality metrics end-to-end: how they are defined, how faithfully our LLM implementations execute those definitions, and how accurate the resulting judgments actually are across relevance, presentation, product quality, and duplication. Getting there means building the tooling that makes rigor repeatable rather than heroic: agents that walk the store the way a customer would, automated inspection of experiments, and feedback loops that finally connect what customers tell us directly to the metrics we optimize.
Sr Applied Scientist, Core Shopping Data Science Amazon.com IncSr Applied Scientist, Core Shopping Data ScienceSeattle, WAYou will distill LLM quality judgments into models compact enough to serve online, model how customers respond to the defects they encounter so we know which ones are worth trading engagement to prevent, and work with Search, Homepage and Detail Page ranking teams to get those signals into online objectives. You will identify the contextual factors that mediate that impact, including session intent, category, device, and prior interactions, and turn the results into a ranking of which defects are worth trading engagement to prevent, on which surfaces, for which customers.
Data Scientist III, Supply Chain Optimization Technologies (SCOT), Inbound Planning Science Amazon.com IncData Scientist III, Supply Chain Optimization Technologies (SCOT), Inbound Planning ScienceBellevue, WAWe are looking for a Data Scientist who will be responsible to develop scientific solutions to optimize our inbound fulfillment strategy across multiple networks and global regions, to maximize our Customer Experience and minimize our cost to serve and carbon footprint. Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
Applied Scientist, Worldwide Grocery Stores - Data and Science Amazon.com IncApplied Scientist, Worldwide Grocery Stores - Data and ScienceSeattle, WAYou will formulate ambiguous business problems as concrete scientific models, develop and deploy production-grade solutions, and work closely with engineering partners, product owners, and business stakeholders to deliver measurable impact. Amazon"s Worldwide Grocery Stores (WWGS), Data & Science team is seeking an Applied Scientist to join our under the roof (UTR) Science team, focused on improving outbound pick efficiencies across the Amazon Grocery Network.
Senior Applied Scientist, Amazon Leo Data Science Platform Amazon.com IncSenior Applied Scientist, Amazon Leo Data Science PlatformRedmond, WAYou'll use your machine learning expertise to build solutions that can scale and solve the business problem, and your engineering experience to build systems that take those solutions to production; it"s an exciting opportunity to apply data science to help improve fraud detection accuracy, inference, and customer experience monitoring activity. As part of the Amazon Leo Data Science Platform team, you will collaborate with a diverse group of internal stakeholders, including fraud operations, Engineering teams, and the Data Platform, to identify and address fraud vulnerabilities.
Senior Applied Scientist, Air Science & Tech AmazonSenior Applied Scientist, Air Science & TechBellevue, WAYou will partner with software developers and data scientists to build end-to-end data pipelines and production code, and you will have exposure to senior leadership as we communicate results and provide scientific guidance to the business. You will work closely with product, research science and technical leaders throughout Amazon Air, Amazon Delivery Technology and and will be responsible for influencing funding decisions in areas of investment that you identify as critical future product offerings.
Applied Scientist , Rufus Experience Science AmazonApplied Scientist , Rufus Experience ScienceSeattle, WAYou will collaborate closely with a multidisciplinary team of scientists, engineers, product managers, and designers to deliver these experiences across multiple Rufus customer-facing features.?You will thrive in this role if you enjoy bringing latest research into everyday life-both for customers and for yourself. Key job responsibilities Execute the science vision and roadmap.??Develop data-driven solutions for the real-world, large scale problems.??Deliver and maintain software and models in the production environment.??Collaborate cross-functionally between product, design, and engineering.
Applied Scientist II, Perimeter Protection Applied Science AmazonApplied Scientist II, Perimeter Protection Applied ScienceSeattle, WAYou will work on challenging problems in threat detection, bot management, DDoS protection, and web application security - developing and deploying machine learning solutions that leverage techniques including large language models, generative AI, and agentic AI systems. Key job responsibilities - Design, develop, and evaluate ML models and algorithms for threat detection, anomaly detection, and mitigation of evolving cyber threats including DDoS attacks, bot activity, and web application exploits.
Applied Scientist II, Sustainability Science and Innovation Amazon.com IncApplied Scientist II, Sustainability Science and InnovationSeattle, WAWe use data across the sustainability imperatives (carbon, water, waste, biodiversity, environmental risk and more) and these skills and capabilities to identify, develop, experiment, and scale the scientific solutions and innovations necessary for Amazon, customers and partners to help them solve their hardest unmet and evolving sustainability needs and goals. Developing and optimizing robust data pipelines for internal data from sources such as Product Lifecycle Management tools, Product Details (images, text, and structured data), Inventory Management Platforms, and financial systems.
Senior Manager, Data Science - Acrobat & Express AdobeSenior Manager, Data Science - Acrobat & ExpressSeattle, WashingtonAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. In California, the pay range for this position is $196,400 - $284,325 In Washington, the pay range for this position is $178,600 - $258,700 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.
Automation Engineer, Materials Research Science MetaAutomation Engineer, Materials Research ScienceRedmond, WADefine the long-term technical roadmap for laboratory automation systems, integrating robotic sample handling, automated metrology instruments, and data acquisition pipelines 2. Architect and own the end-to-end automation infrastructure for high-throughput materials characterization workflows, including optical, mechanical, and electrical property testing of wearable device materials 3. Collaborate with scientists, hardware engineers, and product teams to translate experiments and lab workflows into clear integration specifications, data models, and scalable automation solutions 4. Work with integrators and vendors to design, build, and commission automated workcells for materials R&D (process development, characterization, property testing, etc.) 5. Working at the intersection of lab automation, agentive AI, and computational materials science, this role translates scientific workflows into production-grade software that compresses a discovery cycle from years into weeks, accelerating the development of novel materials for next-generation wearable devices and robotics.
Data Science & MLOps Engineer eTeam Inc.Data Science & MLOps EngineerRedmond, WASupports the end-to-end operationalization of machine learning solutions, including model deployment, versioning, monitoring, and lifecycle management in production environments. responsible for building and maintaining automated ML pipelines, CI/CD workflows, and cloud-based infrastructure for Fraud and Risk Domain.
NewGeospatial Analysis Data Science Support Think Tank, Inc.Geospatial Analysis Data Science SupportSeattle, WACollect fish and environmental data in the field (harsh conditions; may involve driving vehicles/boats/trailers and occasional ship-survey assistance).Write reports, contribute to journal manuscripts, and present results at regional meetings and scientific conferences, as needed. RESPONSIBILITIES:Required (Deliverables):Datasets produced by geospatial analysis stored in an accessible, organized way (e.g., interactive data dashboards backed by code repositories).Reproducible workflows documented in written reports and code repositories.