Senior Data Scientist

AttentiveSan Francisco, CA
8d$250,000 - $300,000

About The Position

Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), and Inc.’s Best Workplaces. About the Role Our 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.

Requirements

  • 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

Responsibilities

  • 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

Benefits

  • You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
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