1,440 Results for

Data Scientist Jobs in Seattle, WA

Jobs

Redmond, WA

$119,800–$234,700 / year

li>

Experience designing, building, or deploying agentic AI systems - including autonomous agents, multi-agent orchestration, tool-use frameworks, or agent-based workflows using platforms such as LangChain, AutoGen, Semantic Kernel, or similar is a plus.

Preferred Qualifications:

Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

3 days ago

Redmond, WA

$142,800–$274,800 / year

Additional or preferred qualifications:** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience. **Qualifications** + Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) + OR equivalent experience.

30+ days ago

Seattle, WA

$155,700–$208,700 / year

You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well as leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally.

30+ days ago

Bellevue, WA

The Data Scientist will design and analyze experiments (A/B tests) to measure the impact of forecast model changes, develop bias correction models to improve forecast accuracy, and contribute to GenAI/LLM-based approaches for forecast explainability and interpretability. The Data Scientist needs to be familiar with deriving causal inferences using observational and experimental data and able to model variations related to demand prediction, out of stock, seasonality, and different lead times and spans.

28 days ago

Seattle, WA

$128,000–$252,500 / year

Qualifications Required: + Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.) + 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision) + 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments + 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow + 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads + Live within commuting distance to one of Deloitte's consulting offices + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred: + 2+ years of experience working in a client-facing, consulting environment + 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions + 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.) + 1+ year of experience with AWS Sagemaker or AWS ML Studio The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Key responsibilities include: + Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production + Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives + Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization + Validate AI models and algorithm via code reviews, unit, and integration tests + Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives + Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives A successful candidate would possess these skills: + Ability to work independently and collaborate as part of a team + Effective written and verbal communication skills + Meticulous attention to detail and quality of work product + Ability to build and sustain professional relationships + Ability to lead projects or workstreams + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment + Strong interpersonal skills and professional demeanor + Ability to meet deadlines + Ability to provide clear guidance to others The TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

30+ days ago

Seattle, WA

$104,458–$165,090 / year

The data scientist will use multimodal, real-world healthcare data (electronic health records, registry data, etc.) as well as multimodal data sets generated in clinical and translational labs such as genomics and imaging, to advance our understanding of clinical care and patient outcomes. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers.

30+ days ago

Seattle, WA

$95,600–$188,400 / year

D. in a relevant STEM field (Data Science, Computer Science, Engineering, Physics, Mathematics, etc.) + 2+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision) + 2+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments + 2+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Triton, RAPIDs, Kubeflow, and MLflow + 2+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads + Live within commuting distance to one of Deloitte's consulting offices + Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred: + 2+ years of experience working in a client-facing, consulting environment + 1+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions + 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, agent-based tools and services, and GenAI frameworks (i.e., LangChain, LangGraph, MCP, etc.) + 1+ year of experience with AWS Sagemaker or AWS ML Studio The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Key responsibilities include: + Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production + Participate in client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives + Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization + Validate AI models and algorithm via code reviews, unit, and integration tests + Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives + Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives A successful candidate would possess these skills: + Ability to work independently and collaborate as part of a team + Effective written and verbal communication skills + Meticulous attention to detail and quality of work product + Ability to build and sustain professional relationships + Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment + Strong interpersonal skills and professional demeanor + Ability to meet deadlines + Ability to provide clear guidance to others The Team Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

27 days ago

Seattle, WA

$173,000–$242,500 / year

Expedia Group's family of brands includes: Brand Expedia, Hotels.com, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, CarRentals.com, and Expedia Cruises. Senior Data Scientist: Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees.

14 days ago

$128,000–$252,500 / year

p>Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

30 days ago

Seattle, WA

$128,000–$252,500 / year

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

30+ days ago

Bellevue, WA

$132,000–$264,000 / year

Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

26 days ago

Seattle, WA

$28.46–$38.41 / hour

p>Knowledge & Skills:

Scope: Supports the ongoing development, enhancement, and user adoption of the YODA revenue management analytics platform, working directly with Revenue Management teams across Holland America Line and Seabourn to ensure all models and tools are accurate, accessible, and actionable.
The Associate Data Scientist will play a hands-on role in supporting the ongoing development, enhancement, and adoption of YODA-the proprietary yield optimization and demand analytics platform built and owned by the data science teams across Carnival Corporation.

30+ days ago

Bellevue, WA

You will lead large-scale data science initiatives across the fields of Large Language Models (LLMs), Natural Language Processing (NLP), and Artificial Intelligence (AI), selecting the ideal methodologies from a wide range of data science disciplines to drive measurable business impact for millions of Alexa customers. Lead the design and end-to-end delivery of complex, ambiguous data science initiatives from problem formulation through experimentation to production deployment, autonomously defining the problem space, selecting ideal solution approaches, and driving measurable business outcomes.

30+ days ago

$95,600–$188,400 / year

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

28 days ago

Designed to simplify workflows and boost team productivity, Workspace features real-time collaboration at its core, allowing information to flow freely across devices and teams so that great ideas are never lost. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of experience with a Master"s degree).

22 days ago

Bellevue, WA

$132,000–$264,000 / year

Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. + Solid experience working withstate-of-the-artAgentic, Gen AI,supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce domain.

27 days ago

Bellevue, WA

$132,000–$264,000 / year

Extensiveexperience building and deployingstate of the artmodels (classic ML and Deep learning) + Strong ability to understand the business and good stakeholder management capabilities and has mentored data scientists in developing ML solutions. + Solidexperience working withstate-of-the-artagentic, Gen AI,supervised and unsupervised machine learning algorithms on real-world problems, preferably in ecommerce domain.

27 days ago

Seattle, WA

$166,000–$258,000 / year

Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf. This is not a traditional Data Science role focused on owning models - it is a platform-facing role for a DS practitioner who wants to shape the infrastructure and tooling that Data Scientists across Nordstrom depend on every day.

30+ days ago

Seattle, Washington

This is not a traditional Data Science role focused on owning models — it is a platform-facing role for a DS practitioner who wants to shape the infrastructure and tooling that Data Scientists across Nordstrom depend on every day.

Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.

30+ days ago

Kirkland, WA

8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master"s degree). Research and develop analysis and methods to improve the quality of Google"s user-facing products (e.g., application areas include AI Mode shopping product quality, and shopping search quality).

15 days ago

Bellevue, WA

Remote

$126,000–$180,000 / year

By applying for this job, you agree to receive AI-generated calls, text messages, and/or emails from Mitchell Martin Inc and its affiliates and contracted partners at various frequency through traditional and automated methods. This role involves working with large datasets and utilizing advanced technology to solve complex business challenges.

22 days ago

Redmond, WA

$119,800–$234,700 / year

Required Qualifications: • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) • Equivalent experience. Preferred Qualifications: • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++ • Committed organizational, analytical, data science skills • Ability to solve problems that the world has not solved before • Experience with real world system building and data collection, including design, coding and evaluation • Experience with driving large collaboration across multiple teams • Experience with communicating with different audiences to provide insights • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

30+ days ago

Seattle, Washington

$104,458–$165,090 / year
Full time

The data scientist will use multimodal, real-world healthcare data (electronic health records, registry data, etc.) as well as multimodal data sets generated in clinical and translational labs such as genomics and imaging, to advance our understanding of clinical care and patient outcomes. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers.

30+ days ago

Seattle, WA

The ideal candidate will bring demonstrated experience in structured problem solving, model building and tuning, building production level analytics products, data collection & cleansing, analytics execution, and communication of meaningful insights to diverse audiences of varying seniority and familiarity with analytic concepts. Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.

22 days ago

Bellevue, WA

Full time

Work Experience: 4-7 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required). Job Responsibilities: Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.

30+ days ago

p>Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.

ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision.

30+ days ago

Bellevue, WA

$132,000–$264,000 / year

26 days ago

Kirkland, WA

By focusing on data-driven objectivity, accountability, and user-centricity, this team develops unbiased frameworks to measure business health and deliver impact assessments across key areas like risk, business, and user trust. You will be responsible for analyzing the impact of evolving regulations, quantifying risks and opportunities, and generating actionable insights that inform product development, policy adjustments, and using user preference and consented signals effectively for Ads targeting.

30+ days ago

Kirkland, WA

$117,000–$179,600 / year

General Information Locations: Kirkland, Washington, United States of America Location: Kirkland Country: United States of America Location: Los Angeles - Del Rey Country: United States of America Location: Austin Country: United States of America Location: Orlando Country: United States of America Role ID 211632 Worker Type: Regular Employee Studio/Department: CT - Data & Insights Work Model: Hybrid. CausalImpact, Fixed Effect Regression), and experimental design • Strong experience with Python/R and SQL • Comfort working in a Bayesian modeling framework • Ability to communicate technical results to non-technical stakeholders.

30+ days ago

Kirkland, WA

As a Data Scientist on this team, you will perform deep data analytics, drive experimentation and measurement, and advance machine learning modeling to support global marketing programs. You will perform analytics, execute experimentation, and conduct incrementality measurement to inform strategic decisions across the entire Ads Marketing lifecycle-from acquisition and onboarding to growth and retention.

30+ days ago

Kirkland, WA

The AP Product Analytics (APPA) team enables the AP team to make data-driven decisions by building tooling, maintaining datasets, and by measuring and delivering insights for improving key metrics for our scaled and automated Google Ads products. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience with a Master"s degree).

2 days ago

p>The Workspace Collab Data Science team empowers product teams for Drive, Docs, Sheets, Slides, Vids (and more) through development of key metrics, data-driven insights, modeling, experimentation and other forms of causal inference to grow product adoption and AI usage.

10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of experience with a Master"s degree).

22 days ago

Bellevue, WA

This role is uniquely positioned in the team as we have a growing need for looking around corners, prioritizing opportunities using data driven insights, and finding solutions to these opportunities using different machine learning techniques and causal inference models. The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses.

16 days ago

Seattle, WA

$151,280–$183,319 / year

p>The role sits at the edge of applied data science and AI engineering: you will design evaluation datasets, build analytical features, prototype models, test agent and retrieval performance, measure product impact, support sandboxed data problem solving, and explain model behavior in ways stakeholders can trust.

BMS is an AWS-first engineering environment for these products, and your work will use AWS-aligned data and AI services alongside enterprise-preferred tools such as OpenSearch, Amazon S3 Vectors, Amazon Neptune, PostgreSQL/RDS, LangGraph, LangSmith, and a variety of approved frontier LLM models and APIs.

30+ days ago

Columbia, Washington

The Data Scientist works closely with ETL Developers, Power BI Developers, Data Analysts, Power Apps Developers, Technical Project Managers, testers, technical writers, and Government stakeholders to assess data sources, define business and technical data requirements, evaluate impacts across systems, and guide the implementation of sustainable enterprise solutions. This role serves as a senior technical contributor focused on understanding complex datasets, identifying trends, gaps, anomalies, and structural risks, and designing data architectures and analytical approaches that improve the quality, accessibility, and usability of enterprise information.

21 days ago

Seattle, WA

Salary Range Transparency** Tier 1 - United States of America 150,000 - 224,000 USD per year Tier 2 - United States of America 166,000 - 250,000 USD per year Tier 3 - United States of America 182,000 - 274,000 USD per year Tier 5 - United States of America 207,000 - 311,000 USD per year **Salary Range Disclaimer** The salary range for this role reflects the minimum and maximum compensation for the role. **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws.

30+ days ago

Redmond, WA

$139,900–$274,800 / year

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience. We’re looking for a Principal Data Scientist - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft’s developer-focused AI suite and drives product growth.

30+ days ago

Redmond, WA

$102,100–$202,200 / year

OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience. OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

29 days ago

Redmond, WA

$119,800–$234,700 / year

Required Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

30+ days ago

Remote

$6–$8 / hour

Typical manufacturing data science work includes detecting process drift, identifying abnormal machine behavior, predicting quality issues, improving equipment health visibility, supporting root cause analysis, and helping teams move from reactive firefighting to proactive detection, triage, and prevention. It includes understanding how the plant operates, identifying where data is generated, defining what "normal" and "abnormal" look like, creating reliable features from machine and process signals, validating model outputs against real-world outcomes, and delivering insights that plant teams can act on.

6 days ago

Seattle, WA

$28.46–$38.41 / hour

Knowledge & Skills: Scope: Supports the ongoing development, enhancement, and user adoption of the YODA revenue management analytics platform, working directly with Revenue Management teams across Holland America Line and Seabourn to ensure all models and tools are accurate, accessible, and actionable. The Associate Data Scientist will play a hands-on role in supporting the ongoing development, enhancement, and adoption of YODA-the proprietary yield optimization and demand analytics platform built and owned by the data science teams across Carnival Corporation.

30+ days ago

Kirkland, WA

The Platforms and Devices team encompasses Google"s various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user"s interaction with computing faster and more seamless, building innovative experiences for our users around the world.

30+ days ago

$130,000–$140,000 / year

Primary responsibilities include mentoring and leading other consultants, leading pre-sales workshops with finance and technology executives to uncover innovative ways to apply advanced analytics techniques to solve business problems in new ways. Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job related knowledge/skills, relevant education/training, and level of experience.

30+ days ago

Seattle, Washington

One of the most commercially successful conversational AI companies in the world, Conversica is building the next generation of our artificial intelligence platform and we are looking for data science interns in the areas of natural language processing, natural language generation, and deep learning. Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred.

1 day ago

Seattle, WA

$206,500–$271,000 / year

li>Train autonomous agents efficiently by building the logic for Reward Signal Extraction and Context-Aware actioning to infer KPIs directly from interaction logs, avoiding traditional delayed-reward bottlenecks. You will move past basic chat interfaces to architect an Identity-Anchored World Model that allows LLMs to understand complex enterprise ideas like "High-Value Churn Risk" and drive autonomous, agentic decisions.

16 days ago

Bellevue, WA

$156,000–$312,000 / year

26 days ago

Tukwila, Washington

Minimum 5 years of experience developing predictive analytics and machine learning solutions, with demonstrated success designing statistical models, applying advanced analytical techniques, and translating business problems into scalable, data-driven solutions using Python, SQL, R, or similar programming languages. Operationalize Data Science Solutions: Partner with Data Engineering and Technology teams to deploy scalable machine learning models, support production-ready analytical solutions, and maintain reliable data pipelines that enable continuous optimization.

6 days ago

Seattle, WA

As a Data Scientist II, you will collaborate with clients and interdisciplinary teams to understand client needs, develop impactful advanced analytics and AI solutions, optimize code, and solve complex business challenges across industries. You will be based in one of our North America locations and collaborate closely with data scientists, data engineers, machine-learning engineers, designers, and product managers around the world.

30+ days ago

Tacoma, WA

Remote

$160,000–$190,000 / year

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn.

17 days ago

$172,364–$258,547 / year

This role owns complex, ambiguous problems from discovery to production deployment, drive technical excellence across the team, and mentor data scientists while partnering with engineering, product, and clinical leaders to deliver measurable outcomes for Medicare Advantage members. Architect end-to-end AI/ML solutions for complex healthcare challenges (35%): Design and deliver production-grade machine learning systems for high-stakes applications including risk stratification, clinical decision support, autonomous chart review, and fraud detection.

30+ days ago

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Data Scientist Jobs in Seattle, WA

Senior Data Scientist Microsoft Corp

Principal Data Scientist Microsoft Corporation

Lead Data Scientist, Ad Research The Walt Disney Co

Data Scientist I, Demand Forecasting Amazon.com Inc

Senior Data Scientist Engineer - SFL Scientific Deloitte

Data Scientist II Fred Hutchinson Cancer Research Center

Data Scientist Engineer - SFL Scientific Deloitte

Sr. Data Scientist - Advertising Technology Expedia Group Inc

Senior Data Scientist Engineer - SFL Scientific Deloitte Touche Tohmatsu Ltd

Senior Data Scientist - SFL Scientific Deloitte Touche Tohmatsu Ltd

Principal, Data Scientist Walmart Inc

Associate Data Scientist Carnival Corp Ltd

Senior Data Scientist , Alexa AI Aurora Amazon.com Inc

Data Scientist Engineer - SFL Scientific Deloitte Touche Tohmatsu Ltd

Staff Product Data Scientist, Workspace Monetization Google LLC

Principal, Data Scientist Walmart

Staff, Data Scientist Walmart

Senior Data Scientist - AI & ML | MLOps Enablement (Hybrid - Seattle, WA) Nordstrom Inc

Senior Data Scientist – AI & ML | MLOps Enablement (Hybrid – Seattle, WA) Nordstrom

Senior Product Data Scientist, Consumer Shopping Google LLC

Senior Data Scientist 3 Mitchell Martin

Senior Data Scientist - Microsoft Advertising Microsoft Corp

Data Scientist II Fred Hutchinson Cancer Center

Sr. Data Scientist Divisions Maintenance Group

Sr Data Scientist T-Mobile USA, Inc

Senior Data Scientist - Scientific AI McKinsey & Co Inc

Staff, Data Scientist Walmart Inc

Senior Data Scientist, Product, Ads Privacy and Safety Google LLC

Data Scientist - Mobile Growth Electronic Arts Inc

Business Data Scientist, Ads Marketing Analytics Google LLC

Senior Product Data Scientist, Google Ads Google LLC

Staff Product Data Scientist, Workspace Collab Google LLC

Senior Data Scientist, Rapid & Rural Logistics (R2L) Science & AI Amazon.com Inc

Senior Data Scientist Bristol-Myers Squibb Co

Data Scientist 9th Way Insignia

Data Scientist III Indeed

Principal Data Scientist - CoreAI Microsoft

Data Scientist - Pricing Microsoft Corp

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