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/engineering on roadmap and impact.
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 – 250kNew York, NYSan Francisco, CAData ScienceRemote5+ YOE
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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