Manager, Data Scientist - Optimization
Core
Design and implement optimization models (linear, mixed-integer, non-linear, heuristic) to improve decision-making and build production-grade optimization algorithms for in-moment decisioning in retail banking.
Role type
Manager, Data Scientist - Optimization
Builds
Production-grade optimization algorithms, simulation models, and decisioning engines for retail banking.
Domain
Retail Banking / Operations Research / Optimization
Deliverable
production ML models
Required skills
Mathematical modeling, Linear/Mixed-Integer/Non-linear programming, Heuristic algorithms, Python, Relational databases, Machine learning, Statistical modeling, Distributed computing, Experiment design
Preferred skills
AWS, Scala, R, Time-series modeling, Numerical optimization techniques, Business outcome optimization
Technologies
Python, AWS, Commercial/open-source solvers, Relational databases
Responsibilities
Design in-market experiments to validate assumptions, Translate business challenges into structured mathematical problems, Develop and deploy scalable optimization models, Integrate optimization engines into software systems, Build machine learning models through full development lifecycle
Seniority
Manager, strategic impact & mentorship
