Note: The job is a remote job and is open to candidates in USA. Brigit is a holistic financial health company helping everyday Americans build a brighter financial future. They are seeking a Director of Data Science to lead and grow their data science team, focusing on integrating new models and optimizing existing ones in credit risk and payments.
Responsibilities
- 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
Skills
- 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.)
- 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
- A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred
- Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial
Benefits
- Medical, dental, and vision insurance
- Flexible PTO Policy
- 401k plan
- Paid Parental Leave
- Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
- Monthly reimbursements to use against wifi and cell phone bills
- Annual reimbursement for Learning & Development
- Help hard working Americans build a brighter financial future
- High-growth company
- A dynamic, flexible and collaborative start-up work environment with a highly talented team
Company Overview