Director of Data Science

Job Summary

Leading the quantitative strategy for marketing decisions, the full-time salaried Sr. Director of Data Science & Experimentation will build and manage a team focused on experimentation, causal inference, and predictive modeling to drive customer acquisition and engagement while collaborating closely with cross-functional teams.

Key responsibilities

• Own the experimentation platform and methodology, implementing A/B testing and advanced statistical frameworks to enhance decision-making speed
• Build and lead a team of data scientists and analysts to focus on growth measurement, marketing attribution, and customer lifetime value prediction
• Develop causal inference frameworks and oversee data pipelines to optimize real-time campaign targeting and audience engagement

Required qualifications

• 12+ years in data science or applied machine learning, with at least 4 years in leadership roles
• Expertise in causal inference and experimentation design, including A/B testing and Bayesian frameworks
• Strong background in machine learning with experience in deploying models in production
• Proficiency in Python and SQL, and familiarity with distributed computing frameworks like Spark or BigQuery
• Experience in scaling experimentation platforms within consumer internet or marketing-intensive organizations