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Data Science Jobs in Seattle, WA (NOW HIRING)

Chewy

Director, Data Science

Bellevue, WA · On-site

You will lead a team of data scientists building the intelligence layer across the full advertising marketplace: * (a) Supply-side algorithms - search, relevance, ranking, real-time bidding, bid ...

Chewy

Director, Data Science

Bellevue, WA

You will lead a team of data scientists building the intelligence layer across the full advertising marketplace: * (a) Supply-side algorithms -- search, relevance, ranking, real-time bidding, bid ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people ...

MCG Health

Director, Data Science

Seattle, WA

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science team responsible for developing advanced AI solutions that improve clinical decision support for payers ...

Meta

Data Science Director (IC)

Bellevue, WA

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

Adobe

Data Science Engineer

Seattle, WA

$130K - $156K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This ...

Liberty Mutual

Director, Data Science

Seattle, WA · On-site +1

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior Director and will be responsible for the following: Frontier Program Representation Liberty Mutual is ...

Salesforce, Inc.

Data Science Principal

Seattle, WA · On-site

Principal Data Scientist, Platform Monetization We are hiring a Principal Data Scientist to lead the data efforts to form Slack monetization strategy and execution from the agentic platform point of ...

New

Salesforce

Data Science Principal

Seattle, WA · On-site

Principal Data Scientist, Platform Monetization We are hiring a Principal Data Scientist to lead the data efforts to form Slack monetization strategy and execution from the agentic platform point of ...

New

Life Science Washington

Data Scientist III

Seattle, WA · On-site

$126.98 - $200.68/hr

This role builds data science solutions, applying LLMs/AI to process, structure, and contextualize health data, and creating data products that are customize to the needs of our translational ...

MCG Health

Director, Data Science

Seattle, WA · On-site

The Director, Data Science provides strategic and operational leadership for MCG's Data Science team responsible for developing advanced AI solutions that improve clinical decision support for payers ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

YO AI Labs

AI Data Science Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate business requirement to analytical model * Communicate directly with business users. * Technical ...

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All JobsData Science JobsData Science Jobs in Seattle, WA

Data Science information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data science in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Seattle, WA?

The most popular types of Data Science jobs in Seattle, WA are:

What are popular job titles related to Data Science jobs in Seattle, WA?

For Data Science jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Seattle, WA look for?

The top searched job categories for Data Science jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Data Science jobs?

Cities near Seattle, WA with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Director, Data Science

Bellevue, WA • On-site

Chewy
Retail • 10K+ employees

6.8

Company rating: 6.8 out of 10

Based on 230 frontline employees who took The Breakroom Quiz

10th of 39 rated national retailers

Respectful managers

Uninterrupted breaks

Learn more about Chewyexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Job Description:
At Chewy, we believe great work starts with great people.
Our mission is to be the most trusted and convenient destination for pet parents and partners everywhere. Advertising is a core growth engine for Chewy-and science is how we make it smarter for shoppers, brands, and the business.
Your Opportunity
We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy-fully accountable for the science strategy and production implementation behind Chewy's onsite and offsite Chewy Ads.
You will lead a team of data scientists building the intelligence layer across the full advertising marketplace:
  • (a) Supply-side algorithms - search, relevance, ranking, real-time bidding, bid-boosting, premium positioning, and dynamic auctions.
  • (b) Demand-side algorithms - budgeting, pacing, budget allocation/reallocation, keyword recommendations, bid recommendations, campaign setup and auto-optimization, and advertiser ROAS optimization.
  • (c) Portfolio management - orchestrating Chewy's onsite and offsite Ads portfolio for optimal, balanced performance across shopper experience, advertiser outcomes, and Chewy revenue.

This is a rare seat: you will define how modern AI-LLMs, generative AI, foundation models, and multimodal systems-shows up in a real advertising marketplace, not as demos, but as durable production systems that move customer and advertiser outcomes at scale. As a core member of Ads leadership, you'll partner closely with Product, Engineering, and business partners, and represent Ads science to Chewy senior leadership.
What You'll Own
  • Full ownership of Chewy Ads Data Science across onsite and offsite channels-strategy, roadmap, model portfolio, delivery, and scientific quality bar.
  • Lead, grow, and mentor a high-performing team of data scientists; set standards for modeling, experimentation, MLOps, and research-to-production excellence.
  • Advance state-of-the-art applied science across the three pillars above: embeddings and representation learning, CTR/CVR prediction, multi-objective ranking, auction and bidding dynamics, budget optimization, ROAS optimization, causal measurement, and marketplace balance.
  • Define and execute Chewy Ads' AI / GenAI strategy, including LLM-powered workstreams such as:
    • Generative creative and offer assistance
    • Intelligent keyword and query recommendation
    • Bid recommendation and automated bidding guidance
    • Auto-campaign setup and optimization copilots for advertisers
    • Retrieval-augmented systems for relevance, discovery, and ranking quality
  • Partner with Product and Engineering to ship production systems that improve shopper relevance, advertiser ROI/ROAS, and Ads business performance.
  • Establish rigorous experimentation and decision frameworks so science investments map clearly to customer and revenue impact.
  • Represent Ads science to senior leadership-translating complex work into clear strategy, tradeoffs, and recommendations.
  • Raise Chewy's external scientific presence through publications, talks, and recruiting at leading ML/AI/advertising venues (encouraged, not required).

What You'll Need
  • Advanced degree (M.S., PhD, or equivalent experience) in a quantitative field (e.g., CS, ML, Statistics, OR, Applied Math, Data Science), or 10+ years building and leading large-scale ML/optimization systems.
  • Proven experience leading data scientists / applied scientists and owning end-to-end science delivery in production-ideally in ads, search, recommendations, personalization, or marketplace systems.
  • Deep hands-on fluency with modern ML for ranking and prediction at scale: deep learning, embeddings, retrieval, multi-objective optimization, and online experimentation.
  • Experience with advertising optimization systems spanning supply and demand-auctions, real-time bidding, pacing, budget allocation, keyword/bid recommendations, auto-campaign optimization, and ROAS optimization under real-time, constrained-spend settings.
  • Demonstrated experience productizing LLMs / generative AI in real systems (e.g., RAG, agentic workflows, evaluation harnesses, quality/safety controls)-ideally in ads, search, or ecommerce.
  • Strong foundation in mathematics, statistics, and scientific method; a high bar for model quality, causal measurement, and production reliability.
  • Experience operating distributed training/serving pipelines and partnering with Engineering on scalable deployment.
  • Exceptional communication: able to influence senior executives and cross-functional partners with clarity and technical credibility.

Nice to Have
  • Direct experience in digital advertising / retail media / sponsored products.
  • Ecommerce or retail marketplace experience.
  • Experience with cloud ML platforms (e.g., AWS SageMaker or equivalent) and modern GenAI tooling.
  • Track record of hiring and developing senior scientific talent.

What You'll Get
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law and you need an accommodation during the application process or to perform these job requirements, please contact CAAR@chewy.com.
Chewy offers a comprehensive benefits package including medical, dental, vision, life and disability insurance, 401(k) with company matching, paid time off, employee discounts, and additional wellness and support programs designed to help Team Members thrive personally and professionally.
The base salary range for this role is $198,500 - $300,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
Chewy logo

About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011

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What Chewy employees say

Pay

Benefits

Hours and flexibility

Workplace

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