Data Scientist (Customer & Marketing Analytics)

Tasks

• Apply clustering and targeting analytics
• Build customer segmentation
• Define and evaluate customer and marketing KPIs
• Develop propensity and churn prediction models
• Engineer customer features
• Perform explainable AI analysis with SHAP
• Present insights to technical and non-technical stakeholders
• Write reusable reproducible documentation and collaborate on dataset preparation and validation

Perks/Benefits

• HybridWorkModel
• PrivateInsurance
• RemoteWorkOption
• TopTierTechGear
• Trainingbudget

Skills/Tech-stack

A/BTesting | AWS | ApacheSpark | AppliedStatistics | Azure | CausalInference | Clustering | CustomerAnalytics | DBSCAN | DataVisualization | Databricks | ExperimentDesign | Experimentation | ExplainableAI | FeatureEngineering | GCP | GaussianMixtureModels | GenerativeAI | Git | HypothesisTesting | KMeans | LLM | MLOps | MarketingAnalytics | ModelEvaluation | PowerBI | PySpark | Python | R | RecencyFrequencyMonetary | Regression | SHAP | SQL | Tableau | Timeseries