Great Value Hiring

Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of approximately 2 months, paying $100/hr. Key skills include SQL, Python, and data analytics. A degree in a related field is required, along with strong communication skills. Fully remote.
🌎 - Country
United Kingdom
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
800
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πŸ—“οΈ - Date
October 21, 2025
πŸ•’ - Duration
1 to 3 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United Kingdom
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🧠 - Skills detailed
#AI (Artificial Intelligence) #GitHub #Mathematics #Data Science #SQL (Structured Query Language) #SQL Queries #Computer Science #Jupyter #JSON (JavaScript Object Notation) #BI (Business Intelligence) #Statistics #Snowflake #Data Analysis #Data Interpretation #Pandas #Data Exploration #Python #Datasets
Role description
Expert Data Scientist [$100/hr] As referral partner, we are posting for experienced Data Science and Analytics professionals to contribute to a high-impact collaboration with a leading AI company. Experts will generate reasoning-based data analysis samples that help improve advanced AI systems’ ability to interpret and reason over complex datasets. This is a unique opportunity to apply your analytical and engineering expertise toward shaping the next generation of intelligent analytics tools. Key Responsibilities β€’ Analyze large structured datasets provided by partner organizations. β€’ Design reasoning-based analytics questions that require multi-step problem-solving and data interpretation. β€’ Write and validate Snowflake SQL queries (using DuckDB, pandas, or Python notebooks) to answer those questions. β€’ Produce clear, human-readable explanations that articulate analytical reasoning and insights. β€’ Format deliverables into structured JSON outputs (question, query, answer). β€’ Ensure consistency and quality through peer collaboration and reviewer feedback. Ideal Qualifications β€’ Strong experience in data analytics, data science, or a related quantitative field. β€’ Proficiency in SQL and Python (experience with DuckDB or pandas preferred). β€’ Strong background in data exploration, statistical reasoning, and business intelligence. β€’ Experience working with tools like iPython, Jupyter Notebooks, or GitHub. β€’ Excellent written communication skills β€” ability to explain complex reasoning clearly. β€’ Degree in Computer Science, Statistics, Mathematics, or related discipline (Bachelor’s minimum; advanced degree preferred). Project Timeline β€’ Duration: ~2 months β€’ Commitment: 15 hours a week β€’ Schedule: Fully remote and asynchronous Application & Onboarding Process 1. Submit your resume. 1. Complete a short interview (~15 minutes). 1. Receive next steps and onboarding materials within a few days.