Senior Data Scientist, Customer Experience and Business Trends
Core
Define, build, and validate statistical and machine learning models to generate competitive intelligence metrics (e.g., share-of-wallet) for senior leadership decision-making.
Role type
Senior IC data scientist (competitive intelligence & metrics)
Builds
Decision-grade intelligence metrics and recurring reporting mechanisms for retail/e-commerce competitiveness
Domain
Retail, e-commerce, competitive intelligence
Deliverable
production ML models
Required skills
statistical modeling, machine learning, causal inference, time series forecasting, metric definition, SQL, Python, R, data pipeline construction, stakeholder communication
Preferred skills
A/B testing, AWS, Spark, mentoring, retail market-share analytics
Technologies
SQL, Python, R, AWS, Spark
Responsibilities
Define and evolve competitiveness metrics; design and validate ML models for forecasting and anomaly detection; integrate third-party and internal data into reproducible pipelines; translate business questions into defensible models; productionize analyses; generate monthly reports; set analytical standards; mentor team members
Seniority
Senior, hands-on IC