I&F Decision Sci Practitioner Sr Analyst
Core
Design, build, and deploy machine learning models and advanced analytics to power CRM & Loyalty engagement growth strategies, including propensity scoring, churn prediction, and CLTV modeling.
Role type
Senior IC machine learning engineer (marketing analytics)
Builds
Production ML models, audience segmentation frameworks, and campaign performance dashboards for global clients
Domain
Marketing analytics, Customer Relationship Management (CRM), and Data Science
Deliverable
production ML models
Required skills
Python (scikit-learn, XGBoost, LightGBM), SQL, machine learning model development, customer analytics methodologies (propensity modeling, CLTV, churn prediction), MLOps practices, A/B testing and experimental design, Power BI/Tableau, CRM platforms (Salesforce Marketing Cloud, Adobe Campaign, Braze)
Preferred skills
Agentic AI frameworks, LLM-integrated analytics pipelines, Salesforce Einstein Analytics, Tealium CDP, industry experience in automobile, airline, retail, FMCG, or beauty
Technologies
Python, SQL, scikit-learn, XGBoost, LightGBM, Power BI, Tableau, Salesforce Marketing Cloud, Adobe Campaign, Braze, AWS SageMaker, GCP Vertex AI
Responsibilities
Design and build ML models for use cases like propensity scoring, churn prediction, next-best-action, and CLTV; own the full model lifecycle from framing to monitoring; partner with analysts to productionize models and integrate into CRM journeys; design and govern global control group frameworks; translate model outputs into actionable audience briefs; conduct CLV, churn, and engagement analyses; lead test-and-learn design (A/B tests); build campaign performance dashboards
Seniority
Senior, hands-on IC