Simulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity Methods Amazon.com IncSimulation & Modeling Applied Scientist, Prime Air Flight Sciences High Fidelity MethodsSeattle, WAThe HFM team"s work enables prediction of critical vehicle performance metrics-including range, maneuverability, tracking error, and aircraft stability-and connects vehicle design and operational decisions to business outcomes such as customer reachability. The scientist will need a working understanding of the physics and systems being modeled, including vehicle aerodynamics, propeller performance, multibody dynamics, atmospheric physics, electric powertrain components, and guidance and navigation system (GNS) sensors.
Applied Scientist, Pricing Science Amazon.com IncApplied Scientist, Pricing ScienceSeattle, WAThe P2 Optimization Science (P2OS) team builds the machine learning systems that power Amazon"s pricing decisions at scale: demand lift models, customer lifetime value frameworks, and the experimentation infrastructure that validates whether our pricing changes actually work. Evaluate and adopt novel techniques - Assess applicability of emerging causal inference methods (synthetic DiD, generalized random forests, causal representation learning) to Amazon"s pricing context; write internal methodology proposals for adoption.
Regulatory Science and Technical Analyst Lynker CorporationRegulatory Science and Technical AnalystSeattle, WashingtonFull timeOur continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement. * This position is advertised through our joint venture, FISH and Lynker Ocean Alliance Team (FLOAT), a partnership between Lynker and Fisheries Immersed Sciences Hawaii (FISH) serving the NOAA ProTech Fisheries 2.0 IDIQ contracting vehicle.
Adjunct Professor in Computer Science DigiPen All JobsAdjunct Professor in Computer ScienceRedmond, WashingtonLocated in Redmond, Washington, DigiPen Institute of Technology is a small college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, and Digital Art and Animation, as well as Master’s degree programs in Computer Science and Digital Art. We are committed to broadening our candidate pool to include more diverse individuals and ensuring fairness in hiring by avoiding bias and determining criteria to judge all candidates prior to posting each new position.
Lecturer Pool - Political Science Central Washington UniversityLecturer Pool - Political ScienceLynnwood, WAEffective September 1, 2026, The minimum remuneration for the non-tenure-track titles for the 2026-2027 academic year will be as follows: (a) Lecturer: $1,248 per workload unit for faculty with terminal degrees; $999 per workload unit for faculty without terminal degrees. The minimum remuneration for the non-tenure-track titles for the 2025-2026 academic year will be as follows: (a) Lecturer: $1,224 per workload unit for faculty with terminal degrees; $979 per workload unit for faculty without terminal degrees.
Adjunct Faculty - Computer Science (Evergreen) DigiPen All JobsAdjunct Faculty - Computer Science (Evergreen)Redmond, WashingtonLocated in Redmond, Washington, DigiPen Institute of Technology is a small college that offers undergraduate degree programs in Computer Science, Game Design, Digital Audio and Music, Computer Engineering, and Digital Art and Animation, as well as Master’s degree programs in Computer Science and Digital Art. We are committed to broadening our candidate pool to include more diverse individuals and ensuring fairness in hiring by avoiding bias and determining criteria to judge all candidates prior to posting each new position.
Social Science Research Analyst US Department of Health and Human ServicesSocial Science Research AnalystSeattle, WA$62,729–$133,142 / yearIn order to qualify for the GS-09, you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-07 grade level in the Federal government, obtained in either the private or public sector, to include: 1) Assisting in conducting analytical studies, research projects, or data studies for a national-level healthcare program; 2) Using qualitative and quantitative methods to assist in analyzing healthcare data to support program implementation, monitoring, and compliance; AND 3) Preparing research documents (i.e. research reports, data summaries, or implementation guidelines) to inform stakeholders on program initiatives. In order to qualify for the GS-11, you must meet the following: You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-09 grade level in the Federal government, obtained in either the private or public sector, to include: 1) Conducting analytical studies, research projects, or data studies for a national-level healthcare program; 2) Using qualitative and quantitative methods to analyze healthcare data to support program implementation, monitoring, and compliance; AND 3) Preparing research documents (i.e. research reports, data summaries, or implementation guidelines) to inform stakeholders on program initiatives.
Senior Product Manager, AI & Data Science Products CrunchBase IncSenior Product Manager, AI & Data Science ProductsSeattle, WA$160,000–$190,000 / yearThe primary charter is to identify high-value opportunities for new model-derived data, validate their value with customers, and take successful products from experimentation through scaled adoption. Partner with Design, Engineering, and Data Science to deliver AI data across Crunchbase products, APIs, MCP, and data delivery experiences.
Manager, Data Science Hasbro IncManager, Data ScienceRenton, WA$144,400–$216,600 / yearWhat You'll Bring We're looking for someone who combines technical depth with business sense: 8+ years of experience conducting predictive and causal analysis Degree in finance, economics, computer science, mathematics, or another quantitative discipline; graduate degree strongly preferred Self-directed, ability to drive projects to completion and proactively communicate timelines and document processes Capable of translating smart questions into rigorous research plans, and translating quantitative estimates into actionable findings for non-technical audiences Experience conducting quantitative analyses in Python, R, or another programming language Working knowledge of SQL Knowledge of and familiarity with trading card games, and especially Magic: The Gathering, is a strong bonus We know that great scientists don't just deliver reports - they help teams see what matters, ask better questions, and make decisions with confidence. From our genre-defining games like Magic: The Gathering and Dungeons & Dragons to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection.
Applied Scientist, Prime Air Flight Sciences Vehicle Design & Test Amazon.com IncApplied Scientist, Prime Air Flight Sciences Vehicle Design & TestSeattle, WAOur Flight Sciences Vehicle Design & Test organization includes teams that span the following disciplines: Aerodynamics, Performance, Stability & Control, Configuration & Spatial Integration, Loads, Structures, Mass Properties, Multi-disciplinary Optimization (MDO), Wind Tunnel Testing, Noise Testing, Flight Test Instrumentation, and Rapid Prototyping. Our Prime Air Drone Vehicle Design and Test team within Flight Sciences is looking for an engineer to help us rapidly configure, design, analyze, prototype, and test innovative drone vehicles.
Senior Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Amazon.com IncSenior Applied Scientist, Shopping Convo Foundations - Pre-purchases ScienceSeattle, WAWe span seven workstreams - from products sourcing and Brand entitlement, to designing and evaluating extraction strategies for ASINs, offers, and brand attributes at scale, as well as relevance modeling and search. We drive root cause analysis through human-in-the-loop evaluation, improve how catalog data surfaces in search, optimize business metrics tied to data quality, and build brand intelligence capabilities.
Principal Applied Scientist, Prime AI/ML Science Amazon.com IncPrincipal Applied Scientist, Prime AI/ML ScienceSeattle, WAWe build the science and infrastructure that allows Prime to know each member deeply, decide what to show them and when, generate the right content in the right format, and measure whether it worked - all optimized toward long-term member value. You will define the frontier, architect the science strategy for a large, cross-cutting organization, and drive breakthroughs that reshape how Prime thinks about customers and the membership program at the deepest level.
NewSr. Applied Scientist, Pricing Science Amazon.com IncSr. Applied Scientist, Pricing ScienceSeattle, WAEqually important is deep expertise in causal machine learning - including causal inference, treatment-effect estimation, and experimentation methods (e.g., uplift modeling, double/debiased machine learning, instrumental variables, and A/B and quasi-experimental design) - to isolate the true impact of pricing and promotion decisions on customer behavior and business outcomes. We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.
Applied Scientist , AWS Marketing Science Amazon.com IncApplied Scientist , AWS Marketing ScienceSeattle, WAYou will develop predictive models for customer segmentation, scoring, and lead/account prioritization, working within an established scoring architecture and collaborating with senior scientists and cross-functional teams to deliver production-grade components. Build and iterate on predictive lead scoring models to support customer acquisition, conversion, and retention strategies using techniques such as survival analysis, graph networks, or transformer-based architectures.
Applied Scientist, SP Support Science Amazon.com IncApplied Scientist, SP Support ScienceSeattle, WAYou will partner with applied scientists and engineers to design and deploy production-grade NLP pipelines, multi-modal AI frameworks, and scalable classification systems at Amazon"s scale, owning your problem space end-to-end, from formulating a scientific approach to shipping a system that 50+ business teams rely on to make better decisions for millions of Selling Partners. Our vision is a continuous, science-driven pipeline where LLM-powered classification, causal impact measurement, and multi-modal friction detection work together to identify why Selling Partners experience frictions and quantify which interventions resolve them.
Applied Scientist, Prime Video - Marketing Science Amazon.com IncApplied Scientist, Prime Video - Marketing ScienceSeattle, WAPrime 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+. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers.
Applied Scientist, Amazon Live Data Engineering, Sciences and Analytics (DESA) Amazon.com IncApplied Scientist, Amazon Live Data Engineering, Sciences and Analytics (DESA)Seattle, WAThe product serves millions of monthly viewers, processes billions of events daily across 9 marketplaces, and generates tens of millions of dollars in advertiser revenue through self-service and managed channels with a goal to reach 100MM+ MAUs and 20K+ brands in the next couple of years. Amazon Live is building the future of shoppable video - connecting brands with customers through livestreams, short-form video, and creator-driven content across Amazon Shopping, Fire TV, Prime Video, and social platforms.
Applied Scientist II, Central Learning Solutions Science Amazon.com IncApplied Scientist II, Central Learning Solutions ScienceBellevue, WAThe Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art solutions for enhancing leadership and associate development across the organization. The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities.
Applied Scientist II, SCOT-Optimal Sourcing Systems, Buying Science Team Amazon.com IncApplied Scientist II, SCOT-Optimal Sourcing Systems, Buying Science TeamBellevue, WAOur goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow (LTFCF) for Amazon. As an Applied Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them.
Applied Scientist, Seller Partner Trust and Store Integrity Science - Global Risk Intelligence and Prevention Amazon.com IncApplied Scientist, Seller Partner Trust and Store Integrity Science - Global Risk Intelligence and PreventionSeattle, WAWe are seeking an exceptional Applied Scientist, Global Selling Partner Risk Intelligence and Prevention, to lead the development and implementation of advanced AI solutions that will transform how we prevent bad actors from operating in our store and enable Selling Partners to start and grow their business without fear of disruption, so that customers and Selling Partners across the globe trust us and have confidence in the integrity of Amazon"s store. This role will focus on building risk detection models leveraging state-of-the-art AI, including small language models, to identify compromised accounts, fraudulent ownership transfers, identity manipulation, and coordinated bad actor networks across the entire seller lifecycle, from registration through ongoing account management.