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BrigitBrigitNew York City, NY

Director of Data Science

Lead and grow a data science team building predictive models for credit risk, payments, and consumer financial products. Drive adoption of AI tools and partner with product and engineering on roadmap and impact.

225k – 250k
Remote5+ YOEData Science

About the role

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

Compensation & Benefits

  • Anticipated annual base salary: $225,000 - $250,000
  • 15% annual bonus opportunity
  • Medical, dental, and vision insurance
  • Flexible PTO Policy
  • 401k plan
  • Paid Parental Leave
  • Physical and mental wellbeing benefits including Wellhub and Headspace
  • Monthly reimbursements for wifi and cell phone bills
  • Annual reimbursement for Learning & Development

Skills

PythonSQLdbtAirflowSparkMLflowPredictive ModelingCredit Risk ModelingMachine LearningAi-Assisted Development

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