Customer Data Science Engineer, B2B Retention

Own the development of the B2B customer churn prediction capability from data preparation through production and continuous improvement. Build predictive models to identify customers with an increased probability of voluntary churn and develop interpretable models that explain the risk factors. Analyze customer behavior to identify patterns associated with churn and develop actionable retention strategies.

Bachelor’s degree in Statistics, Economics, Actuarial Science, Mathematics, Engineering, Computer Science, Data Science or another quantitative discipline. 3+ years of experience in data science, predictive analytics, or customer analytics. Strong SQL and Python skills for data preparation and predictive modeling.