Lead and grow a data science team at Brigit, focusing on modeling key business problems and integrating AI-assisted development.
Posted by employer 3 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 13 hours ago
AI in the day-to-day
Helping lead the team’s adoption of AI-assisted development and agentic workflows.
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Benefits
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
Quick facts
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:
For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
Standard company text repeated across Brigit's postings is omitted here.