New York Technology Partners

Data Scientist (AI/ML)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (AI/ML) on a 6-month contract in Minneapolis, MN, requiring 3+ years of Python experience, 1+ years in NLP, and 2 years with LLMs. Strong communication and analytical skills are essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
360
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πŸ—“οΈ - Date
April 28, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Minneapolis, MN
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #ML (Machine Learning) #NLP (Natural Language Processing) #Databricks #Python #Forecasting #Data Science #Supervised Learning #Transformers #Unsupervised Learning #Libraries
Role description
We are currently partnered with a digital consultancy that is looking for a Data Scientist (AI/ML Engineer) to support one of their leading healthcare clients. This is a 6-month contract position with the potential to extend or convert full-time. Candidates must work onsite 2-3 days per week at the Minneapolis, MN office. Job Overview The Data Scientist will be part of the copilot initiative whose goal is to improve consumer’s omni-channel experience. Consumers are Medicare shoppers looking for the best health plan that suits their needs. The engineering team is responsible for designing and implementing an AI focused architecture involving different models (ML, GenAI and LLMs) that work in a cohesive way for various use cases for the consumers. Qualifications β€’ 3+ years of experience in Python using common data science libraries such as scikit-learn and Databricks β€’ 1+ years of experience applying NLP (transformers, gpt, etc) in a production setting using large amounts of data β€’ 2 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems β€’ Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses β€’ Experience building APIs for the models β€’ Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience β€’ Organized self-starter, with drive and commitment; able to work with little supervision β€’ Strong analytical, quantitative, problem-solving, and critical thinking skills