

Contract Role: AI/ML Data Scientist at Minneapolis, MN (Remote)
β - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for an AI/ML Data Scientist in Minneapolis, MN (Remote), requiring 5+ years in predictive modeling and strong Python skills. Experience with LLM frameworks, SQL, and cloud platforms is essential, along with healthcare analytics expertise.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 5, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Minneapolis, MN
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π§ - Skills detailed
#Apache Spark #Langchain #Deep Learning #TensorFlow #Leadership #SQL (Structured Query Language) #Deployment #Predictive Modeling #Spark (Apache Spark) #Data Science #NLP (Natural Language Processing) #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Cloud #Monitoring #Libraries #ML (Machine Learning) #Scala #Azure #Automation #GIT #AI (Artificial Intelligence) #Python #Hugging Face #PyTorch
Role description
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AI/ML Data Scientist
Minneapolis, MN (Remote)
Long Term Contract
Job Details:
This position focuses on leveraging AI/ML, particularly Large Language Models (LLMs) and AI/ML solutions to drive medical cost savings and operational efficiency across Optum's Projects. The role involves designing scalable data science solutions and leading innovation in healthcare analytics.
Key Responsibilities:
β’ LLM Integration: Apply LLMs to enhance analytic methodologies and develop intelligent automation solutions.
β’ End-to-End Pipelines: Build and maintain full data science pipelines including ingestion, feature engineering, modeling, deployment, and monitoring.
β’ Cross-Functional Collaboration: Work closely with engineering, product, and business teams to align models with strategic goals.
β’ Innovation Leadership: Lead initiatives in AI/ML innovation, including foundation models and retrieval-augmented generation.
β’ Mentorship: Guide junior data scientists and promote best practices in coding and collaboration.
Required Qualifications:
β’ 5+ years in predictive modeling, ML, NLP, or deep learning.
β’ Strong Python skills and experience with ML libraries (Scikit-learn, PyTorch, TensorFlow, SparkML).
β’ 3+ years of SQL experience in distributed data environments.
β’ 2+ years working with cloud platforms (AWS, Azure, GCP).
β’ 1+ years hands-on with LLM frameworks (e.g., Hugging Face, LangChain, OpenAI APIs).
β’ Experience with Apache Spark and Git.
Preferred Experience:
β’ Healthcare data analytics.
β’ AI/ML applications in Healthcare
β’ Familiarity with production-grade ML systems and MLOps.