Company Summary:
Top Consumer Lending Firm seeking a seasoned Data Scientist. In this role you would develop and manage a set of models across a diverse portfolio that, that includes but not limited to risk models, direct mail response models, portfolio risk models, and others. As a Data Scientist you would have the opportunity to work with model monitoring, segmentation, and competitive analysis.
Responsibilities:
- Build complex predictive models across the enterprise
- Collect and analyze big sets of data and make recommendations to manage customer risk
- Research and develop new modeling technique
- Leverage traditional regression models and machine learning algorithms to understand the key drivers and estimate customer behaviors
- Lead a team to conduct statistical analysis, develop decisions frameworks, and risk strategies
Qualifications:
- Master's degree (PhD preferred) in quantitative background such as statistics, engineering, etc
- Proficient use of Python or other programming tools
- 7+ years of experience
- Python, Hive, Tensorflow, Pyspark, and AWS experience required
- Extensive knowledge using machine learning algorithms: XG Boost, GBM, clustering, deep learning, and NLP
Benefits:
- Health care
- PTO
- 401k
- Hybrid role