Lead the design and delivery of ML systems and data products that directly impact company-wide growth and operational strategy
Turn ambiguous business questions (from customer acquisition to churn dynamics) into concrete technical roadmaps that deliver clear, actionable results
Lead the end-to-end deployment of ML products, ensuring they are not just accurate but robust, maintainable, and fully integrated into our production infrastructure
Partner across Engineering, Product, and Finance to ensure our technical strategy is solving the right business problems and moving our core metrics
Act as a force multiplier by establishing the standards for model development. You will lead design docs and peer reviews that ensure our work is reproducible and integrates seamlessly with the work of our Data and Analytics Engineering partners
Take accountability for the full model lifecycle, from the initial data design through to the long-term performance and business value of production systems

Requirements

8+ years of experience in Data Science or ML Engineering, with a proven track record of building production systems that deliver measurable business impact
High proficiency in Python and SQL. Expert-level experience with the Python data stack (pandas, NumPy, scikit-learn) and at least one major ML framework (such as PyTorch or XGBoost/LightGBM)
Ability to work on unique issues requiring conceptual thinking and broad impact. You know how to build for long-term scalability while delivering immediate value
Proven ability to influence without authority. You can translate complex technical logic into compelling narratives for executive leadership
Experience with CI/CD, ML Ops, and managing the full lifecycle of models in a cloud-based production environment (AWS or GCP)
BS, MS, or PhD in a quantitative field (Data Science, Statistics, Economics, CS, Applied Math, etc.) or equivalent field expertise

Benefits

Competitive salary & equity compensation for full-time roles
Unlimited PTO, company holidays, and quarterly mental health days
Comprehensive health benefits including medical, dental & vision, and parental leave
Employee Stock Purchase Program (ESPP)
401k benefits with employer matching contribution
Offsite team retreats

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data ScienceMachine Learning EngineeringPythonSQLpandasNumPyscikit-learnPyTorchXGBoostLightGBM

Soft Skills

conceptual thinkinginfluence without authoritycommunicationaccountabilitycollaboration

Certifications

BS in Data ScienceMS in Data SciencePhD in Data ScienceBS in StatisticsMS in StatisticsPhD in StatisticsBS in EconomicsMS in EconomicsPhD in EconomicsBS in Computer Science