Great Value Hiring

Data Scientist

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 6+ years of experience, offering $100/hr for a 2-month, remote contract. Key skills include SQL, Python, data analysis, and strong communication. A degree in a quantitative field is required.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
800
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๐Ÿ—“๏ธ - Date
October 6, 2025
๐Ÿ•’ - Duration
1 to 3 months
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๐Ÿ๏ธ - Location
Remote
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
United States
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๐Ÿง  - Skills detailed
#Computer Science #Mathematics #JSON (JavaScript Object Notation) #Pandas #Data Analysis #Datasets #Python #Data Exploration #AI (Artificial Intelligence) #Jupyter #Statistics #SQL (Structured Query Language) #Data Science #SQL Queries #BI (Business Intelligence) #Data Interpretation #GitHub
Role description
Experienced Data Scientist ($100/hr) Our client is hiring experienced Data Science and Analytics professionals to contribute to a high-impact collaboration with a leading AI company. Freelancers will generate expert-level, reasoning-based data analysis samples that help improve advanced AI systemsโ€™ ability to interpret and reason over complex datasets. This is a unique opportunity to apply your analytical and engineering expertise towards shaping the next generation of intelligent analytics tools. Key Responsibilities โ€ข Analyze large structured datasets provided by partner organizations โ€ข Design reasoning-based analytics questions that require multi-step problem-solving and data interpretation โ€ข Write and validate SQL queries (using DuckDB, pandas, or Python notebooks) to answer those questions โ€ข Produce clear, human-readable explanations that articulate analytical reasoning and insights โ€ข Format deliverables into structured JSON outputs (question, query, answer) โ€ข Ensure consistency and quality through peer collaboration and reviewer feedback. Ideal Qualifications โ€ข 6+ experience in data analytics, data science, or a related quantitative field. โ€ข Proficiency in SQL and Python (experience with DuckDB or pandas preferred). โ€ข Strong background in data exploration, statistical reasoning, and business intelligence. โ€ข Experience working with tools like iPython, Jupyter Notebooks, or GitHub. โ€ข Excellent written communication skills โ€” ability to explain complex reasoning clearly. โ€ข Degree in Computer Science, Statistics, Mathematics, or related discipline (Bachelorโ€™s minimum; advanced degree preferred). Project Timeline โ€ข Duration: ~2 months โ€ข Commitment: 15 hours a week โ€ข 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.