Senior Associate, Data Scientist Campaign Management
Core
Leverage data, analytics, and predictive modeling to improve campaign effectiveness, customer engagement, and business outcomes by developing segmentation frameworks and optimizing marketing performance.
Role type
Senior Associate, Data Scientist (Campaign Management)
Builds
Actionable insights, campaign logic, target criteria, and execution plans for acquisition, cross-sell, up-sell, retention, and reactivation campaigns.
Domain
Retail/Banking (implied by 'Capital Place Branch' and 'product holdings') + Marketing Analytics
Deliverable
production ML models | product features
Required skills
Python, SQL, Predictive modeling, Customer segmentation, Classification and regression models, Forecasting models, Recommendation engines, Model performance evaluation, Power BI, Tableau
Preferred skills
Propensity-to-Buy modeling, Propensity-to-Churn modeling, Next Best Offer (NBO) modeling, Customer Lifetime Value (CLV) modeling, Response/Uplift modeling
Responsibilities
Develop customer segmentation frameworks based on behavior, demographics, and transaction patterns; Identify optimal campaign channels to maximize revenue and engagement; Analyze customer journeys to identify opportunities for acquisition, cross-sell, up-sell, retention, and reactivation; Manage end-to-end campaign execution across multiple products, channels, and segments; Translate business requirements into campaign logic, target criteria, and execution plans; Build and maintain predictive models including propensity-to-buy, propensity-to-churn, next best offer, customer lifetime value, and response/uplift models.
Seniority
Senior Associate, hands-on IC
