Senior Data Scientist / MLOps Engineer

Job Title: Senior Data Scientist / MLOps Engineer (Optimization Specialist)

Location: Minnesota (Onshore - Required)

Type: Contract

Industry: Advanced Analytics / Quantum Computing Research

Job Summary

We are seeking a highly skilled Data Scientist with a strong background in MLOps Engineering to lead the development and productionalization of complex optimization models. You will be responsible for not only designing the core models specifically focusing on Simulated Annealing and transitioning toward Quantum Annealing, but also building the automated pipelines required to move these models into a production environment.

Key Responsibilities

• Core Modeling: Design and develop advanced optimization models. You will lead the "journey" from classical optimization to simulated annealing, with a future-state focus on quantum annealing.
• MLOps & Productionization: Bridge the gap between data science and DevOps by writing production-grade code. Ensure models are scalable, reliable, and integrated into the broader ecosystem.
• Pipeline Construction: Design and maintain robust data and ML pipelines. You will determine what data is pushed through the system and how it is processed for maximum efficiency.
• Algorithm Selection: Lead the selection of algorithms and variables. You must understand how models "reason" and be able to justify the architectural choices for the optimization engine.
• Deployment: Take full ownership of the model deployment lifecycle, ensuring that the "Optimization Thing" (internal use case) is fully functional in a live environment.