E-IT
Data Scientist (AI/ML Engineer)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (AI/ML Engineer) in Eden Prairie, MN, on a contract basis. Requires 5+ years in Python, 3+ years in NLP, and 2-3 years with LLMs. Strong communication and analytical skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 7, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Eden Prairie, MN
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🧠 - Skills detailed
#Transformers #Data Science #Libraries #NLP (Natural Language Processing) #ML (Machine Learning) #Forecasting #"ETL (Extract #Transform #Load)" #Python #Unsupervised Learning #AI (Artificial Intelligence) #Databricks #Supervised Learning
Role description
Role: Data Scientist (AI/ML Engineer)
Location: Eden Prairie, MN – Onsite
Hire : Contract
Required Skills:
• 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
• 3+ years of experience applying NLP (transformers, gpt, etc) in a production setting using large amounts of data
• 2-3 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems
• Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses
• Experience building APIs for the models
• Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
• Organized self-starter, with drive and commitment; able to work with little supervision
• Strong analytical, quantitative, problem-solving, and critical thinking skills
Role: Data Scientist (AI/ML Engineer)
Location: Eden Prairie, MN – Onsite
Hire : Contract
Required Skills:
• 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks
• 3+ years of experience applying NLP (transformers, gpt, etc) in a production setting using large amounts of data
• 2-3 years of experience applying LLMs (RAG, vector db, embeddings) to solve real world problems
• Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses
• Experience building APIs for the models
• Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
• Organized self-starter, with drive and commitment; able to work with little supervision
• Strong analytical, quantitative, problem-solving, and critical thinking skills
