Senior Data Scientist
Lead ML model development for AI messaging products. Build statistical, econometric, and optimization models; run experiments and present insights to leadership. Requires strong Python/SQL skills and quantitative degree.
What You’ll Accomplish
- Lead the development of statistical, econometric, optimization, and machine learning models for a range of applications in our messaging and AI product offerings
- Design and execute experiments, interpret results, and draw actionable conclusions
- Use data to understand product performance, identify improvement opportunities, and define product/team roadmaps
- Present findings to senior leadership to inform and influence business decisions
- Collaborate with cross-functional teams across product, engineering, client services, and sales to drive business value from ideation to production
Your Expertise
- Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics
- Knowledge of experimental design and analysis
- Experience with exploratory data analysis, statistical analysis and testing, and model development
- Ability to use Python to work efficiently at scale with large data sets
- Advanced proficiency in SQL
Nice to Haves
- 4+ years of industry experience as an Applied or Data Scientist or equivalent
- Familiarity with advanced statistical inference, experimentation, and causal inference methods
- Econometric experience with pricing and promotion optimization
- Expertise in customer lifetime value modeling
- Experience in personalization systems and cross-sectional cohort modeling
- Background in operations research (e.g., scheduling or assignment problems)
- Knowledge of advanced topics in XGBoost modeling
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