Senior Data Scientist
Core
Quantify multi-channel marketing performance and establish causal return on investment by engineering data pipelines and predictive models to guide executive budget decisions.
Role type
Senior Data Scientist (Marketing Analytics & Causal Inference)
Builds
Production-grade Marketing Mix Modeling (MMM), time-series forecasting, and Customer Lifetime Value (CLV) models; automated GenAI analysis agents; Tableau dashboards.
Domain
Marketing, Media Measurement, AdTech
Deliverable
production ML models
Required skills
Causal inference, advanced econometrics, incrementality testing, Python (pandas, scikit-learn), enterprise SQL, Databricks Lakehouse Platform (PySpark, Delta Lake, MLflow), Marketing Mix Modeling (MMM), time-series forecasting, Tableau
Preferred skills
GenAI/LLM agentic frameworks (LangChain, MosaicML), statistical media optimization
Technologies
Databricks, Delta Lake, PySpark, MLflow, Tableau, Python, SQL, LangChain, MosaicML
Responsibilities
Design, build, and deploy production-grade MMM, time-series forecasting, and CLV models; Architect and execute rigorous incrementality frameworks (matched-market, geo-holdout tests); Construct end-to-end data ingestion pipelines from vendor APIs into Databricks Delta Lake; Pioneer and integrate GenAI analysis agents for anomaly detection and reporting automation; Translate statistical outputs into automated Tableau dashboards and train stakeholders on self-service SQL.
Seniority
Senior, hands-on IC
