York Solutions, LLC

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist on a hybrid contract in Brooklyn Park, MN, through May 31, 2026, with a pay rate of $60-85/hr. Requires 3-4+ years of data science experience, proficiency in ML, GenAI, and large datasets.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
680
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πŸ—“οΈ - Date
November 27, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Brooklyn Park, MN
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Mathematics #Programming #Data Analysis #Statistics #AI (Artificial Intelligence) #Datasets #Data Science #Scala #Visualization #Computer Science
Role description
β€’ β€’ β€’ At this time, we are unable to consider candidates requiring visa sponsorship or third-party recruitment agencies for this role. We thank you for your understanding. β€’ β€’ β€’ Data Scientist – Contract (Hybrid) Location: Brooklyn Park, MN Schedule: Hybrid – Onsite Tuesdays & Wednesdays Duration: Through May 31, 2026 Rate: $60-85/hr W2 + benefits About the Role We are seeking a Data Scientist to develop advanced, data-driven solutions leveraging machine learning, statistical modeling, and generative AI. In this role, you will explore complex, high-dimensional datasets, identify patterns and opportunities, and design predictive models and algorithms that drive meaningful business improvements. You’ll use a flexible, analytical approach to prototype new capabilities, enhance existing products, and deliver insights that support large-scale decision-making. What You’ll Do β€’ Conduct exploratory data analysis to uncover insights and inform model development. β€’ Design, build, and evaluate predictive models, simulations, and advanced algorithms. β€’ Apply GenAI, LLMs, context engineering, and prompt strategies to real-world business problems. β€’ Clean, transform, and analyze large datasets to support enterprise initiatives. β€’ Develop, test, and maintain scalable codebases using industry best practices and CI/CD workflows. β€’ Collaborate cross-functionally to deploy solutions that deliver measurable impact. β€’ Communicate findings clearly to both technical and non-technical partners. Required Qualifications β€’ Bachelor’s, Master’s, or PhD in Mathematics, Statistics, Operations Research, Engineering, Physics, Computer Science, or related field. β€’ 3–4+ years of relevant industry experience in data science or applied machine learning. β€’ Strong understanding of ML methods, statistical concepts, optimization, data structures, and simulations. β€’ Experience with GenAI, LLMs, prompt strategies, and LLM evaluation techniques. β€’ Hands-on experience working with large datasets and developing production-grade models. β€’ Proficiency in programming and working within collaborative code environments. β€’ Experience deploying solutions with large-scale business impact. β€’ Self-driven with strong problem-solving and communication skills. Nice to Have β€’ Experience with data visualization, advanced simulation techniques, or optimization tools. β€’ Familiarity with large-scale enterprise environments. Benefits: York Solutions Offers a generous benefits package for eligible full-time employees: β€’ BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program) β€’ Delta Dental plan with 2 free cleanings and insurance discounts β€’ Eye Med Vision with annual check-ups and discounts on lens β€’ Life and Accidental Death Insurance paid by company β€’ John Hancock 401(k) Retirement Plan with discretionary company match β€’ Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance. β€’ Flexible work environment with some remote working opportunities β€’ Strong fun and teamwork environment β€’ Learning, development, and career growth