Data Scientist 2
Core
Applies data science in advanced analytics such as predictive modeling and data mining in a big data environment to deliver predictive models and insights for product types and channels.
Role type
Mid-level IC data scientist (predictive modeling)
Builds
Predictive models and insights for credit card operations, banking, financial, loyalty rewards, and retail products.
Domain
Financial services / Credit card operations
Deliverable
production ML models
Required skills
Python, SQL, Spark SQL, Databricks, statistical concepts, ML algorithms (Bagging, Boosting, Neural Nets), data mining, feature engineering, model validation, data visualization
Preferred skills
Master's/PhD in quantitative field, 3+ years hands-on ML experience, large-scale data processing, production ML systems, GenAI fundamentals (Transformers, LLMs, embeddings), optimization and interpretability (SHAP)
Technologies
Python, Spark SQL, Databricks, AWS, Azure, Git, ML experimentation tools, data visualization tools
Responsibilities
Extract and sample data, conduct exploratory data analysis, reveal hidden patterns via unsupervised learning, engineer features, train/tune classification and regression models, validate and fix model issues, present business cases, develop model risk management controls and documentation, research industry trends in data science.
Seniority
Mid-level, hands-on IC