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Data Science Lead Jobs in Seattle, WA (NOW HIRING)

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 ...

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 ...

Director, Data Science

Seattle, WA · On-site

$201K - $281K/yr

Lead, coach, and develop a team of senior and staff data scientists, establishing clear priorities, fostering technical excellence, and supporting career growth. * Define departmental priorities ...

We are seeking a Principal Data Science Manager to lead a team of approximately 10 to 12 data scientists focused on delivering actionable insights and advancing data-driven decision making. This ...

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 ...

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 ...

Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers Minimum Qualifications: * Bachelor's degree in ...

Proven ability to lead and drive projects and assignments to completion through others, to include ... Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be ...

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven ... The Director, Data Science provides strategic and operational leadership for MCG's Data Science ...

Lead Data Scientist

Seattle, WA · On-site

$175K - $195K/yr

You will set the standard for data science excellence, architect scalable solutions, and help ... Lead the end-to-end development, validation, and deployment of large-scale predictive models and ...

Senior Lead Data Scientist

Seattle, WA · On-site

$204K - $226K/yr

Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP. * Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams ...

Lead Data Scientist

Seattle, WA · On-site

$175K - $195K/yr

You will set the standard for data science excellence, architect scalable solutions, and help ... Lead the end-to-end development, validation, and deployment of large-scale predictive models and ...

You will inspire, lead and grow a high-performing team.Product leadership: You will use data to ... Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ...

We are looking for a customer-focused, solutions-oriented Senior Manager, Data Science to lead and scale the data science function within the R2L organization. In this role, you will build and manage ...

Senior Lead Data Scientist

Seattle, WA · On-site

$204K - $226K/yr

Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP. * Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams ...

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Showing results 1-20

Data Science Lead information

See Seattle, WA salary details

$35

$79

$109

How much do data science lead jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data science lead in Seattle, WA is $79.75, according to ZipRecruiter salary data. Most workers in this role earn between $68.94 and $89.47 per hour, depending on experience, location, and employer.

What is a data science lead?

Data Science Leads are professionals who oversee data science teams and projects within an organization. They are responsible for guiding data-driven strategies, managing data analysts and scientists, and ensuring the successful delivery of analytical solutions. Their role often includes project management, team mentorship, stakeholder communication, and hands-on technical work such as developing models and interpreting data. Data Science Leads bridge the gap between technical data teams and business leaders to drive organizational goals using data insights.

What are the key skills and qualifications needed to thrive as a data science lead?

To thrive as a Data Science Lead, you need deep expertise in statistical analysis, machine learning, and data modeling, usually supported by an advanced degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of cloud platforms (such as AWS or Azure) are typically required. Strong leadership, communication, and project management skills set top candidates apart by enabling them to guide teams and translate complex insights to stakeholders. These skills ensure effective team performance, drive actionable business strategies, and maximize the impact of data-driven initiatives.

How does a data science lead typically balance technical responsibilities with team leadership duties?

A Data Science Lead often splits their time between hands-on technical work and managing their team. While they actively contribute to model development, data analysis, and code reviews, they also spend significant time mentoring junior data scientists, coordinating project timelines, and aligning team efforts with business objectives. Effective Data Science Leads prioritize communication and delegation, ensuring the team remains innovative while meeting deadlines. This dual focus can be challenging, but it provides valuable opportunities for professional growth and impact across the organization.

What is the difference between Data Science Lead vs Data Analyst?

AspectData Science LeadData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learning and programmingBachelor's degree in Statistics, Mathematics, or related fields; focus on data interpretation and reporting
Work EnvironmentLeads data science projects, collaborates with cross-functional teams, and develops predictive modelsAnalyzes data sets, creates reports, and provides insights to support business decisions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for strategic data initiativesCommon across various industries for operational and business analysis

The Data Science Lead focuses on leading complex data projects, developing models, and guiding teams, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles require strong analytical skills, but the Lead role involves more technical expertise and leadership responsibilities.

Infographic showing various Data Science Lead job openings in Seattle, WA as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $165,890 per year, or $79.8 per hour.

Director, Data Science

Bellevue, WA


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


Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


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


What Chewy employees say

Pay

Benefits

Hours and flexibility

Workplace

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