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Data Scientist
Robotics Technologies —Minneapolis, MN
Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment…
2d
Machine Learning Researcher, Senior
Qualcomm —San Diego, CA
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering,…
$159,100 - $238,700 a year
1d

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Data Scientist

Robotics Technologies
Minneapolis, MN

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Job Details

2 days ago

Qualifications

AI models
Data transformation pipeline development
AI platforms (beyond public GPTs)
Computational framework
Automating deployment processes
Maintaining data pipelines
Model deployment
Implementation (software development lifecycle)
Machine learning libraries
Model evaluation
Machine learning frameworks
MLOps

Full Job Description

Job ID:
J52876
Job Title:
Data Scientist
Location:
Minneapolis, MN
Duration:
12 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C

Job Description:
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.

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.

Equal Opportunity Employer

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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