Sr Data Scientist - Customer Analytics
Core
Senior Data Scientist applying machine learning and statistical modeling to analyze customer value, behavior, and segmentation for client engagements.
Role type
Senior IC data scientist (customer analytics)
Builds
Production ML models for customer segmentation, CLV estimation, and next-best-action recommendations
Domain
Consumer/Marketing Analytics
Deliverable
production ML models
Required skills
Python, SQL, predictive modeling, feature engineering, model evaluation, statistical analysis, causal modeling, A/B testing, customer segmentation, customer lifetime value modeling, churn modeling, propensity modeling, uplift modeling
Preferred skills
PySpark, Databricks, AWS, Azure, retail/CPG/e-commerce domain experience, communicating to senior stakeholders
Technologies
Python, SQL, PySpark, Databricks, AWS, Azure
Responsibilities
Build ML models to classify customers into value segments and estimate transitions; Develop CLV and customer value models; Analyze behavioral and transactional data to identify patterns; Apply causal modeling and experimentation to understand drivers of customer value; Contribute to Next Best Action proof of concept; Translate business questions into data science approaches; Perform exploratory data analysis, feature engineering, and model validation; Connect technical analysis to business outcomes
Seniority
Senior, hands-on IC
