Senior Data Scientist / MLOps Engineer (Optimization Specialist)

Role:Senior Data Scientist / MLOps Engineer (Optimization Specialist)

Location:Minneapolis, MN (Hybrid) Local candidates only

Technical Requirements

Advanced Optimization: Deep expertise in optimization algorithms, specifically Simulated Annealing. Familiarity or interest in Quantum Annealing/Quantum Computing is a significant plus.

Engineering Excellence: Proven ability to write production-ready code. This is not a research-only role; you must be able to "conscribe" and deploy your own work.

MLOps Frameworks: Strong experience in building and managing machine learning pipelines ( Azure preferred).

Data Science Fundamentals: Mastery of variable selection, algorithm tuning, and model evaluation metrics.

Experience with high-stakes, confidential use cases involving complex data modeling.

Local to Minnesota (Strongly preferred for onshore collaboration).

Ability to work in an agile, fast-paced environment with an "immediate" onboarding timeline.

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