Data Scientist

Role Overview

We are seeking a

Senior Data Scientist

with expertise in causal inference, experimentation, predictive modeling, and advanced analytics. This role will develop scalable solutions to measure incremental impact, optimize targeting, and translate complex analysis into actionable business recommendations.

Key Responsibilities

• Apply causal inference methods—including propensity score matching, difference-in-differences, synthetic controls, and randomized or quasi-experimental designs—to quantify business impact
• Build predictive, uplift, and treatment-effect models to improve targeting, prioritization, and resource allocation
• Design and analyze A/B tests, including sample sizing, control and treatment groups, statistical testing, and segment-level effects
• Analyze large datasets, develop reproducible analytical frameworks, and collaborate on scalable data pipelines
• Partner with cross-functional teams and communicate findings, recommendations, and business impact to technical and non-technical stakeholders

Required Qualifications

• Bachelor’s or Master’s degree in a quantitative field and

4+

years of relevant data science or advanced analytics experience

• Strong knowledge of causal inference, experimental design, statistical testing, regression, sampling, confidence intervals, and power analysis
• Hands-on experience with predictive, uplift, or treatment-effect modeling and machine learning evaluation
• Proficiency in Python, SQL & GCP
• Strong problem-solving, stakeholder management, and communication skills

Preferred Qualifications

• Experience applying causal inference and experimentation in a business setting
• Familiarity with cloud data platforms, modeling libraries, experimentation tools, and model deployment or monitoring

Success Measures

• Deliver reliable, scalable models and experiments that quantify incremental impact and improve business decisions
• Optimize targeting and resource allocation through statistically rigorous analysis
• Clearly communicate insights and recommendations across business and technical teams