Position Details
About this role
Senior Associate, Data Science focuses on loss forecasting modernization and data transformation, building models and governance, while collaborating with cross-functional teams to deliver data-driven insights and ML solutions.
Key Responsibilities
- Partner with cross-functional team to identify model risks
- Leverage a broad tech stack to reveal insights
- Build statistical/ML models to challenge production models
- Contribute to model governance
- Present to executives
Technical Overview
Stack includes Python, Conda, AWS, Spark, SQL; develops statistical and machine learning models, performs data transformations, and participates in model governance within a cloud-enabled environment.
Ideal Candidate
The ideal candidate is a data scientist with 2+ years of analytics experience, strong Python/SQL/AWS skills, and hands-on machine learning know-how, who can govern models and communicate insights to product managers and leadership.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Bachelor's degree in a quantitative field OR Master's/MBA with quantitative concentration, 2+ years experience with Python, Scala, or R, 2+ years experience with machine learning, 2+ years experience with SQL, Experience with AWS
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