Lead Data Scientist

📋 Description

• Investigate revenue-generating opportunities and analyze the underlying data to size, scope
• Design, build, deploy, and operate production ML systems, including batch inference, online
• Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps teams to
• Establish monitoring frameworks to evaluate the performance, reliability, and business impact of
• Implement data, code, and model lineage practices that support secure, reproducible, compliant, and
• Collaborate with Data Engineering to improve the data ecosystem and pipelines that power

🎯 Requirements

• Advanced degree in a discipline requiring sophisticated statistical analysis, or equivalent
• 6+ years of experience scoping, building, analyzing, and deploying ML-powered systems, including
• Significant programming experience with Python, scikit-learn, PySpark, and causal inference tooling.
• Strong understanding of software engineering practices, including testing, modularization, version
• Professional experience applying modern causal inference and causal analysis techniques.
• Significant experience working with existing datasets, designing instrumentation to generate new

🎁 Benefits

• Annual base salary of $175,000–$218,000 USD, with final compensation determined by experience
• Equity compensation through Restricted Stock Units (RSUs).
• Medical, dental, and vision insurance, with plans fully paid for U.S. employees.
• Life and disability insurance and additional supplemental benefit options.
• 401(k) plan with company matching.
• Paid parental leave.