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

You will lead a team of data scientists building the intelligence layer across the full advertising ... Exceptional communication: able to influence senior executives and cross-functional partners with ...

Communicate complex technical concepts to non-technical audiences and executive leadership. * Stay current with industry trends and emerging technologies in data science and AI. Qualifications

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Communicate complex technical concepts to non-technical audiences and executive leadership. * Stay current with industry trends and emerging technologies in data science and AI. Qualifications

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Communicate complex technical concepts to non-technical audiences and executive leadership * Stay current with industry trends and emerging technologies in data science and AI. What you'll bring ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Communicate complex technical concepts to non-technical audiences and executive leadership * Stay current with industry trends and emerging technologies in data science and AI. What you'll bring ...

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors -- ensuring data science insights directly inform the ...

Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling ... Can communicate clearly with technical, operational, and executive audiences. * Have a bias toward ...

... 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 ...

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

... executive level stakeholders or clients - Masters Degree in Data Science or related field - Experience with generative AI, large language models, and agentic AI systems Amazon is an equal opportunity ...

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Showing results 1-20

Executive Data Science information

See Seattle, WA salary details

$30.2K

$106.5K

$209.4K

How much do executive data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for executive data science in Seattle, WA is $106,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $137,100.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is the role of an executive data scientist?

An executive data scientist leads data science initiatives within an organization, translating complex data insights into strategic decisions. They often oversee teams, communicate findings to stakeholders, and require strong skills in analytics, leadership, and business acumen, along with proficiency in tools like Python, R, or SQL. Their role involves aligning data projects with organizational goals and ensuring impactful results.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.

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

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

Infographic showing various Executive Data Science job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,465 per year, or $51.2 per hour.

Director, Data Science

Chewy

Bellevue, WA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


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.


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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