Senior Data Scientist
Core
Develop data-driven models and advanced analytics to uncover value from business data, answer key business questions, and improve consumer experience.
Role type
Senior IC data scientist (predictive modeling & experimentation)
Builds
Predictive models, deep learning algorithms, and data-driven insights for consumer experience
Domain
Financial services / Data science
Deliverable
production ML models
Required skills
R, Python, SQL, SAS, NoSQL, predictive modeling, statistical techniques (Bayesian, regression, mixed modeling), web scraping, scalable data pipeline design
Preferred skills
Machine learning frameworks (TensorFlow, scikit-learn, caret), cloud ML tools (AWS SageMaker), Hadoop, structured and unstructured data handling, financial services background
Technologies
AWS, Hadoop, Oracle, DB2, SQL Server, SPSS, Teradata, TensorFlow, scikit-learn, caret, RStudio, SAS, NoSQL
Responsibilities
Conduct large-scale experimentation, research emerging ML/AI techniques, define requirements for training deep learning models, partner with business segments to identify opportunities, present data-backed insights to influence product teams, use data storytelling to communicate findings
