Green Key Resources

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist (multiple openings) with a contract length of 30+ hours/week, offering a competitive pay rate. Candidates must have 2+ years of experience in data science, proficiency in Python and SQL, and familiarity with AI and LLM tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 6, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Memphis Metropolitan Area
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🧠 - Skills detailed
#Data Engineering #SQL (Structured Query Language) #Python #Agile #ML (Machine Learning) #AI (Artificial Intelligence) #Data Science #Model Evaluation
Role description
Data Scientist (Multiple Openings) 100% Remote • • Must be US Based • • We're hiring multiple Data Scientists to join our team. We're looking for analytical problem-solvers who enjoy working with data, machine learning, and AI to solve real-world business challenges. You'll collaborate with cross-functional teams while working independently in a fast-paced, fully remote environment. Required Qualifications • 2+ years of professional experience in data science; including experience in analytics, machine learning, statistical modeling, data engineering, or related applied work in industry or research. • Proficiency in Python and/or SQL, with the ability to write, review, and maintain analytical code. • Strong analytical and problem-solving skills, with experience translating data into actionable insights. • Excellent written communication skills and the ability to clearly present technical findings to diverse audiences. • Comfortable working independently in a fully remote environment with minimal supervision. • Minimum 30/hours per week • Familiarity with AI and Large Language Model (LLM) tools, including practical user-level experience with modern generative AI platforms. Preferred Qualifications • Experience applying machine learning models to real-world business problems. • Knowledge of modern data science workflows, experimentation, and model evaluation techniques. • Experience collaborating with cross-functional teams in agile or startup environments.