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
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
Education
N/A
Roles
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