I&F Decision Sci Practitioner Analyst
Core
Design, build, and deploy machine learning models and advanced analytics to drive customer segmentation, campaign performance, and loyalty engagement for global clients.
Role type
Senior IC machine learning engineer (marketing analytics)
Builds
Production ML models, audience segmentation frameworks, and campaign measurement dashboards
Domain
Marketing analytics, customer experience, and data science
Deliverable
production ML models
Required skills
Python (scikit-learn, XGBoost, LightGBM), SQL, machine learning model development, customer analytics methodologies, MLOps practices, A/B testing design, Power BI/Tableau, CRM platform integration
Preferred skills
Agentic AI frameworks, LLM-integrated analytics, Salesforce Einstein Analytics, Tealium CDP structures, industry exposure (automobile, airline, retail, FMCG, 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 propensity scoring, churn prediction, next-best-action, and CLTV forecasting; Own the full model lifecycle from problem framing to deployment and monitoring; Partner with analysts to integrate model outputs into CRM journeys; Design and govern global control group frameworks and statistical methodologies; Translate model outputs into actionable audience briefs and campaign recommendations; Build and maintain campaign performance dashboards; Lead test-and-learn design and interpret results to inform strategy
Seniority
Senior, hands-on IC