Senior Data Scientist
Core
Senior Data Scientist designing, developing, and implementing predictive and prescriptive models to drive business value in financial services, specifically focusing on Customer Lifetime Value (CLV) and portfolio optimization.
Role type
Senior IC data scientist (predictive analytics & machine learning)
Builds
Production ML models (CLV, risk, forecasting) and data-driven insights for business strategy
Domain
Financial services / Banking
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, machine learning, feature engineering, model validation, large-scale data analysis, data visualization
Preferred skills
Customer Lifetime Value (CLV) modeling, IFRS 9, credit risk modeling, survival analysis, cloud platforms (Snowflake, Azure, Databricks), MLOps
Technologies
Python, SQL, Snowflake, Azure, Databricks
Responsibilities
Design, develop, validate, and implement predictive and prescriptive models; Lead development of Customer Lifetime Value (CLV) models; Partner with stakeholders to translate business needs into modeling solutions; Analyze complex financial datasets to extract patterns; Ensure model compliance with regulations; Monitor model performance and implement retraining; Lead strategic initiatives like portfolio optimization.
Seniority
Senior, hands-on IC