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 systems’ 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
- Analyze large structured datasets provided by partner organizations
- Design reasoning-based analytics questions that require multi-step problem-solving and data interpretation
- Write and validate SQL queries (using DuckDB, pandas, or Python notebooks) to answer those questions
- Produce clear, human-readable explanations that articulate analytical reasoning and insights
- Format deliverables into structured JSON outputs (question, query, answer)
- Ensure consistency and quality through peer collaboration and reviewer feedback.
Ideal Qualifications
- 6+ experience in data analytics, data science, or a related quantitative field.
- Proficiency in SQL and Python (experience with DuckDB or pandas preferred).
- Strong background in data exploration, statistical reasoning, and business intelligence.
- Experience working with tools like iPython, Jupyter Notebooks, or GitHub.
- Excellent written communication skills — ability to explain complex reasoning clearly.
- Degree in Computer Science, Statistics, Mathematics, or related discipline (Bachelor’s minimum; advanced degree preferred).
Project Timeline
- Duration: ~2 months
- Commitment: 15 hours a week
- Schedule: Fully remote and asynchronous
Application & Onboarding Process
- Submit your resume.
- Complete a short interview (~15 minutes).
- Receive next steps and onboarding materials within a few days.