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Director of Data Science

Lead and grow a data science team at Brigit, focusing on modeling key business problems and integrating AI-assisted development.

Location
San Francisco (Hybrid)
Compensation
$225k–$250k/yr
Level
director
Type
full time

Posted by employer 3 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 13 hours ago

Apply at Brigit → Save job Scanned from hellobrigit.com

Skills & Technologies

AI in the day-to-day

Helping lead the team’s adoption of AI-assisted development and agentic workflows.

Requirements

Experience
5+ years
Education
Master's degree

Not disclosed in this posting: work arrangement, visa sponsorship.

Benefits

401k Match Education Budget Gym Membership Health Insurance Parental Leave

Joblaze summary

The Director of Data Science at Brigit will lead a team focused on developing and optimizing quantitative models to address key business challenges, particularly in credit risk and payments. This role requires strong expertise in Python and SQL, along with experience in predictive modeling and AI-assisted development tools. Ideal candidates will have a background in consumer products and a passion for mentoring, making it suitable for those with significant management experience in data science. Brigit's dynamic environment emphasizes collaboration and innovation, positioning the team for impactful growth.

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Brigit's careers page November 10, 2026.
  • This exact title is also open at 1 other location at Brigit: New York City (Hybrid).
  • Salary band is above the typical range for Data Science roles (median ~$178,250).
  • Starts above 60% of 10 comparable director data science roles in United States we track (median $220,000 across 8 companies).

Quick facts

What's the salary range?
Brigit lists $225,000–$250,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Director of Data Science role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Airflow, MLflow, Python, SQL, Spark, dbt.
What seniority level is this role?
Brigit targets director candidates for this position.
Is this full-time or contract?
Full-time for this Director of Data Science role at Brigit.

From the original posting

Role Overview:

At Brigit, our Data Science team has been dramatically scaling its impact. We’re aiming to integrate new models across several product domains over the next year and continue to iterate and optimize in the areas of credit risk and payments, where we already have models deployed. We are looking for a leader to enable continued adoption of AI-assisted development and agentic workflows in how the team builds, evaluates, documents, and ships data science work. Doing this will require our team to grow, but it will also require a more concerted effort to plan and integrate with product teams, understand their roadmap, and explore projects that make sense in this context. To support this growth, we’d like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential.

What you'll be doing:

  • Managing and growing a team of data scientists focused on modeling key business problems.

  • Mentoring and guiding team members as they build out quantitative models in python using industry-standard techniques.

  • Evangelizing the data science team’s capabilities and integrating with product, engineering and operations teams to build a roadmap and backlog of data science solutions with business impact.

  • Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction.

  • Helping lead the team’s adoption of AI-assisted development and agentic workflows, including identifying practical use cases, setting working norms, and ensuring these tools are used with appropriate review, validation, privacy, and quality standards.

  • Working closely with our Modeling Engineer to optimize and improve our infrastructure for model research, development and deployment.

What you have:

  • 2+ years of Data Science management with a team of >3

  • 5+ years of modeling/data science experience overall

  • 2+ years of experience at a consumer product company

  • Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.)

  • Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial.

  • A Master’s or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred

  • Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders

  • A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes

  • Hands-on familiarity with modern AI-assisted coding and agentic tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar, with a strong point of view on how these tools can improve data science productivity, quality, and business impact.

The anticipated annual base salary for this position is $225,000 - $250,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Benefits & Team:

  • Medical, dental, and vision insurance

  • Annual Employer HSA Contribution

  • Discretionary Time Off

  • 401k Matching

  • Paid Parental Leave

  • Annual reimbursement for Learning & Development

Disclosures:

Standard company text repeated across Brigit's postings is omitted here.

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