Senior Data Scientist

Responsibilities

• Shape the strategic direction of applied data science
• Mentor senior and junior scientists
• Collaborate closely with engineering, product, operations, and business leaders
• Identify high-leverage opportunities across the business
• Design statistically rigorous frameworks to understand causal impact
• Guide business strategy through experimentation, measurement, and principled inference
• Prototype, experiment, influence architecture, and ensure operationalization of models and insights that move business metrics

• 8+ years of industry experience with MS or 6+ years with PhD in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Machine Learning, or a related quantitative field
• Proven experience applying data science and machine learning to complex business problems
• Deep expertise in causal inference, experimentation, and statistical modeling
• Strong intuition for business and product trade-offs
• Proficiency in Python, data analysis, visualization, and writing scalable, production-ready code
• Demonstrated ability to take data science, ML, or causal inference systems into production
• Fluency in SQL or similar tools for directly interrogating production-scale datasets
• Experience mentoring and providing technical direction to other scientists, analysts, or engineers