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Senior Data Science Manager Jobs in Seattle, WA (NOW HIRING)

TikTok

Data Science Manager - TikTok Ads

Seattle, WA · On-site

$242K - $401K/yr

... manage high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space 3. Build and prototype analysis pipelines for the team ...

Tensec

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

Collaborate with data and software engineers to support data science solutions through the entire ... Ability to manage the stress of a fast-paced environment. * Ability to meet the in-person ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Overview As a Senior Data Scientist for LLM Evaluation , you will develop and implement cutting ... science experience (e.g., managing structured and unstructured data, applying statistical ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our ... science experience (e.g., managing structured and unstructured data, applying statistical ...

Socket.dev

Senior Data Scientist

Seattle, WA · On-site

$120 - $150/hr

Hands‑on Senior Data Scientist converting ambiguous scientific/business opportunities into ... Qualifications & Required/Preferred Skills * BS+ in Data Science/Statistics/CS/Engineering ...

Sidram Technologies

Data Scientist

Seattle, WA · On-site

Title: Sr Data Scientist Client: Savers Inc Location: Seattle, Washington, Preferred Hybrid, 2 days ... Experience with MLflow for experiment tracking, model registry, and lifecycle management (native ...

Visa

Data Scientist- Sr. Consultant level

Bellevue, WA · Hybrid

We are the backbone for innovative data science and artificial intelligence developments at Visa ... Ensures adherence to data management principles, governance, process, and tools to maintain data ...

Launch Consulting

Sr. Data Scientist

Bellevue, WA · On-site

$140K - $180K/yr

For senior professionals ready to shape the future of AI and Data Science, your next big ... Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving ...

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All JobsData Science JobsSenior Data Science Manager JobsSenior Data Science Manager Jobs in Seattle, WA

Senior Data Science Manager information

See Seattle, WA salary details

$56.4K

$144.8K

$238.6K

How much do senior data science manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for senior data science manager in Seattle, WA is $144,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $169,700.00 per year, depending on experience, location, and employer.

How does a senior data science manager typically collaborate with cross-functional teams to drive business outcomes?

A Senior Data Science Manager often works closely with stakeholders from product, engineering, marketing, and business operations to align data-driven initiatives with organizational goals. They are responsible for translating complex analytical findings into actionable insights and ensuring that data science projects address real business needs. Effective collaboration requires strong communication skills, the ability to prioritize multiple projects, and fostering a culture of knowledge sharing across teams. By coordinating with various departments, Senior Data Science Managers help ensure that data-driven strategies lead to measurable business impact.

What does a senior data science manager do?

A Senior Data Science Manager leads a team of data scientists to develop analytical solutions that drive business decisions and strategy. They oversee the end-to-end process of data collection, model development, and deployment, ensuring projects align with organizational goals. Additionally, they mentor team members, collaborate with stakeholders across departments, and help set the vision for data-driven initiatives. Their role requires both technical expertise and strong leadership skills.

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

To thrive as a Senior Data Science Manager, you need strong expertise in data analysis, statistical modeling, and machine learning, typically supported by an advanced degree in a quantitative field and significant experience leading data teams. Familiarity with tools such as Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization software is essential, along with knowledge of project management methodologies. Outstanding leadership, communication, and strategic thinking skills are crucial for aligning data initiatives with business goals and fostering team development. These abilities are vital for driving impactful analytics projects, delivering actionable insights, and ensuring the success of data-driven strategies within an organization.

What is the difference between Senior Data Science Manager vs Data Scientist?

AspectSenior Data Science ManagerData Scientist
CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, strategic planningAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareEntry to mid-level roles across industries

The main difference is that a Senior Data Science Manager oversees data teams and strategic initiatives, while a Data Scientist focuses on analyzing data and building models. The manager role involves leadership and project management, whereas the Data Scientist role is more technical and hands-on.

What cities near Seattle, WA are hiring for Senior Data Science Manager jobs? Cities near Seattle, WA with the most Senior Data Science Manager job openings:
Senior Data Science Manager jobs near you

Data Science Manager, Finance and Strategy

Stripe

Seattle, WA • On-site, Remote

Full-time

Re-posted 17 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
  • 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
  • A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)
  • 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