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

TikTok

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242K - $387K/yr

Responsibilities We're the TikTok Monetization Products data science team, who enables and ... We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.

Pacvue

VP, AI Strategy & Delivery

Seattle, WA · On-site

Lead and Scale AI / Data Science * Lead Pacvue's AI, ML, and Data Science organization across experimentation, applied models, recommendations, optimization, measurement intelligence, forecasting ...

Microsoft

Data Scientist II

Redmond, WA · On-site

Overview As Microsoft continues to lead the way in AI innovation, Clipchamp is transforming how ... If you are passionate about applying data science to solve real-world customer challenges and shape ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

Lead and mentor domain data science teams to deliver ML products on time. * Collaborate cross-functionally to drive end-to-end content improvement. * Research and develop innovative content ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

Lead and mentor domain data science teams to deliver ML products on time. * Collaborate cross-functionally to drive end-to-end content improvement. * Research and develop innovative content ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

$156K - $312K/yr

Lead and mentor domain data science teams to deliver ML products on time. * Collaborate cross-functionally to drive end-to-end content improvement. * Research and develop innovative content ...

Walmart

Distinguished, Data Scientist

Bellevue, WA · On-site

$156K - $312K/yr

Lead and mentor domain data science teams to deliver ML products on time. * Collaborate cross-functionally to drive end-to-end content improvement. * Research and develop innovative content ...

Visa

Lead Data Scientist

Bellevue, WA · On-site

We are the backbone for innovative data science and artificial intelligence developments at Visa acceptance, and we thrive on solving complex challenges on a global scale! As a Lead Data Scientist ...

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Showing results 21-40

All JobsData Science Lead JobsData Science Lead Jobs in Seattle, WA

Data Science Lead information

See Seattle, WA salary details

$35

$79

$109

How much do data science lead jobs pay per hour?

As of Sep 2, 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.

Data Science Lead jobs near you
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.

Data Science Manager, Finance and Strategy

Stripe

Seattle, WA • On-site

Full-time

Re-posted 12 days ago

Job description

Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
Finance and Strategy Data Science builds the forecasting models, data infrastructure, and analytics tools at the core of how Stripe measures and plans its business. The team owns everything from hierarchical time series and agentic forecasting tools that predict payment volumes and revenue margins, to the governed metrics platform that feeds company-wide dashboards and executive reporting. We partner closely with Finance and Strategy, GTM, and Product stakeholders to directly inform financial decisions across Stripe's entire business. The team combines technical depth, strategic thinking, and executive partnership that develops both technical and business expertise.
What you'll do
Data Science Managers at Stripe are responsible for the success of their team. You'll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You'll have a deep understanding of how to drive efficient data science teams and you'll have a strong user-focus. You'll be working with data scientists, analysts, and engineers on creating technical solutions and communicating effectively across teams and senior leadership.
Responsibilities
  • Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data-driven.
  • Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing.
  • Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe.
  • Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.
  • Recruit and onboard great data scientists, in collaboration with Stripe's recruiting team.
  • Contribute to broad data science initiatives as a member of Stripe's data science management team.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • A PhD, MS, or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
  • You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience.
  • You've demonstrated expertise in designing metrics and guiding business decisions with data.
  • You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions.
  • You've managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems.
  • You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
  • You have clear and persuasive communication skills in writing and in speech.
  • You thrive on a high level of autonomy and responsibility.
  • You foster a healthy, inclusive, challenging, and supportive work environment.
Preferred qualifications
  • You're comfortable working with geographically distributed teams.
  • Expertise in time series forecasting, predictive modeling, or optimization
  • Expertise in data design and building scalable data architectures

Apply