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Brigit is looking to hire a Head of Data Science to grow and lead their Data Science team to its maximum potential, integrating new models across several product domains and iterating on existing credit risk and payments models.

Requirements

• 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.

Responsibilities

• Managing and growing a team of (currently 4) 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 operation teams in order 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.
• Working closely with our Modeling Engineering team (currently 1) to optimize and improve our infrastructure for model research, development and deployment.

Other

• 2+ years of Data Science management with a team of >3
• 2+ years of experience at a consumer product company
• 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