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Full Time Data Science Manager Jobs (NOW HIRING)

CircleCI

Data Science Manager, GTM

San Francisco, CA · On-site

$188K - $235K/yr

The Manager of Data Science for GTM is a hands-on player coach who leads from the front across Sales, Customer Success, and Marketing analytics. They are deeply technical, opinionated about the GTM ...

Mercury

Senior Data Science Manager

San Francisco, CA · On-site +1

We're looking for a Senior Data Science Manager to lead the data science powering Mercury's revenue and product value engine. This team supports Go-To-Market functions across Finance, Marketing, and ...

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How much do full time data science manager jobs pay per year?

As of Jun 16, 2026, the average yearly pay for full time data science manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of efforts or features. Data scientists and managers often use this principle to focus on the most impactful data, models, or tasks to improve efficiency and outcomes.

What is the difference between Full Time Data Science Manager vs Data Scientist?

AspectFull Time Data Science ManagerData Scientist
CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often prefers leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, builds models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareUsed across industries for data analysis, modeling, and insights

The Full Time Data Science Manager oversees data teams and strategic projects, requiring leadership skills, while Data Scientists focus on analyzing data and building models. Both roles require strong technical skills, but the manager also emphasizes team management and project coordination.

Is AI replacing data scientists?

AI is transforming the role of data science managers by automating routine tasks like data cleaning and model deployment, but it does not replace the need for skilled data scientists. Data science managers oversee teams that develop, interpret, and implement AI models, requiring expertise in statistical analysis, programming, and domain knowledge. The demand for human oversight remains essential to ensure ethical, accurate, and effective use of AI technologies.

Is 40 too late for data science?

For a Full Time Data Science Manager role, age is not a barrier; many professionals transition into data science or management roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like machine learning, programming, and data analysis. Age should not deter pursuing a data science career if you have the necessary expertise and a strong portfolio.
What cities are hiring for Full Time Data Science Manager jobs? Cities with the most Full Time Data Science Manager job openings:
What are the most commonly searched types of Data Science Manager jobs? The most popular types of Data Science Manager jobs are:
What states have the most Full Time Data Science Manager jobs? States with the most job openings for Full Time Data Science Manager jobs include:
Full Time Data Science Manager jobs near you
Data Science Manager, Finance and Strategy

Data Science Manager, Finance and Strategy

Stripe

Seattle, WA • On-site, Remote

Full-time

Posted 23 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