Senior Data Scientist

Job Summary

As a key analytical partner to Go-To-Market (GTM) teams, the full-time Senior Data Scientist will design, build, and maintain predictive machine learning models to optimize customer acquisition, revenue attribution, and retention efforts, working remotely and collaborating across Sales, Marketing, and Customer Success.

Key responsibilities

• Design, build, and deploy foundational GTM models, including Customer Lifetime Value (LTV) forecasting and Marketing and Sales Attribution
• Partner with GTM teams to design and analyze controlled experiments across various channels, leveraging methodologies such as A/B testing and causal inference
• Execute complex analytical deep dives to uncover user behavior insights and provide actionable recommendations to improve GTM metrics

Required qualifications

• 4+ years of professional experience in applied data science, economics, or GTM analytics with a focus on predictive modeling and experimentation
• B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline; a Master's degree is preferred
• Demonstrated experience in building and validating production-ready machine learning models
• Proficiency in statistical methodologies for A/B testing and causal inference methods
• Advanced proficiency in Python or R and expert-level SQL skills