Data Scientist
Core
Design, develop, and deploy machine learning models and analytical solutions to address complex retail business challenges such as forecasting, customer lifetime value, churn prediction, and pricing optimization.
Role type
Mid-level IC data scientist (retail analytics)
Builds
Predictive models, customer segmentation strategies, and dashboards for merchandising, supply chain, and marketing teams.
Domain
Retail / Consumer Goods
Deliverable
production ML models | dashboards & analysis
Required skills
Python (pandas, scikit-learn, numpy), SQL, statistical modelling, machine learning, Power BI, AWS services, Snowflake
Preferred skills
Experience in retail, FMCG, or consumer-facing industries; experience with large, complex datasets
Technologies
Python, SQL, AWS (S3, Glue), Snowflake, Power BI, Git
Responsibilities
Design and deploy ML models for forecasting and customer lifetime value; conduct exploratory data analysis on large-scale retail datasets; build predictive models for merchandising and supply chain; create Power BI dashboards to communicate insights; translate analytical findings into actionable business recommendations.
Seniority
Mid-level, hands-on IC