End-to-end model delivery in regulated environment
Risk-focused applied machine learning
Model evaluation and monitoring frameworks
We are seeking a Senior Data Scientist, Vice President to design and deliver advanced analytics and machine learning solutions supporting our Internal Audit Functions
Job Summary
We are seeking a Senior Data Scientist, Vice President to design and deliver advanced analytics and machine learning solutions supporting our Internal Audit Functions.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes retirement savings plan with company match, insurance coverage, paid-time off, employee assistance program, and incentive compensation.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential with inclusive development opportunities and flexible work-life support.
Matching Summary
We are seeking a Senior Data Scientist, Vice President to design and deliver advanced analytics and machine learning solutions supporting our Internal Audit Functions.
Salary
Base: $120,000 - $202,500 Annual; Bonus/Equity: Not specified; Benefits: Comprehensive benefits including 401K match, insurance, paid time off, and incentive compensation
Skills & Requirements
Must-have
end-to-end model delivery in regulated environment
risk-focused applied machine learning
model evaluation and monitoring frameworks
feature engineering and data quality
responsible GenAI and LLM development
Python and ML/data libraries expertise
AWS machine learning deployment
Nice-to-have
analytics or AI in Internal Audit
model risk management familiarity
MLOps practices experience
LLMs or NLP enterprise use cases
stakeholder partnership and communication
Key Requirements
Bachelor’s or Master’s degree in quantitative field
7+ years hands-on data science experience
strong proficiency in Python and ML libraries
experience with SQL and large-scale data platforms
hands-on AWS SageMaker deployment experience
ability to communicate complex analytics to non-technical stakeholders