About the RoleOur Data Science team is a world-class data, applied science, and ML organization that leads data-driven decision-making and the conversational AI efforts for the entire company. Joining our team offers a high-growth career opportunity to work with some of the world's most talented data scientists in a high-performance and high-impact culture.
As a Senior Data Scientist on our Intelligent Messaging team, you will play a crucial role in transforming data into actionable insights and models for our AI product offerings. We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Attentive's scale. Your contributions will directly influence the development of cutting-edge ML solutions, empowering our team to craft highly effective messaging strategies.
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
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants:- The US base salary range for this full-time position is $250,000 - $300,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
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