Lead Data Scientist (Remote | Part-Time | $80 –$100/hr)
About the role
Experienced Data Scientist
Hourly contract | Part-time | Remote | $100 per hour
About the Role
A leading AI research initiative is seeking experienced Data Scientists and Analytics Professionals to contribute to a high-impact collaboration focused on improving AI systems’ ability to reason over complex data. In this role, you’ll design and execute analytical tasks that train and evaluate frontier AI models, ensuring they can interpret, process, and reason across structured datasets.
This is a unique opportunity to apply your analytical expertise and data engineering skills toward shaping the next generation of intelligent analytics tools.
Key Responsibilities
- Analyze large, structured datasets to derive insights and reasoning-based solutions.
- Design multi-step analytical questions requiring critical thinking and data interpretation.
- Write and validate SQL queries (using DuckDB , pandas , or Python notebooks).
- Produce clear, human-readable explanations of analytical reasoning and findings.
- Format deliverables into structured JSON outputs (question, query, answer).
- Ensure consistency and quality through collaboration and reviewer feedback.
Ideal Qualifications
- 6+ years of 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 .
- Familiarity with iPython , Jupyter Notebooks , or GitHub workflows.
- Excellent written communication — able to clearly explain complex reasoning.
- Degree in Computer Science, Statistics, Mathematics , or a related field (Bachelor’s minimum; advanced degree preferred).
Project Details
- Duration: ~2 months
- Commitment: ~15 hours per week
- Schedule: Fully remote and asynchronous — flexible work hours
Compensation & Contract
- Rate: $100/hour (USD)
- Contract Type: Independent contractor
- Payments: Daily via Stripe Connect
Application & Onboarding Process
- Submit your resume highlighting your analytical and technical expertise.
- Complete a short AI-powered interview (~15 minutes).
- Receive next steps and onboarding details within a few days.
⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡
About Call For Referral
Call for Referral will help job seekers to find referrals for jobs or internships.
Call For Referral is going to simplify the process of asking for referrals for candidates to one single referral request rather than 1000 DMs to people asking for referrals and also wea re making it easy for referrers to choose the candidate they want to refer.
we are building the most advanced referral system for job seekers, companies, and recruiters. Seems Excited!! stay tuned. We are opening Call For referral for #referrers, #referral, #candidates and #recruiters
Lead Data Scientist (Remote | Part-Time | $80 –$100/hr)
About the role
Experienced Data Scientist
Hourly contract | Part-time | Remote | $100 per hour
About the Role
A leading AI research initiative is seeking experienced Data Scientists and Analytics Professionals to contribute to a high-impact collaboration focused on improving AI systems’ ability to reason over complex data. In this role, you’ll design and execute analytical tasks that train and evaluate frontier AI models, ensuring they can interpret, process, and reason across structured datasets.
This is a unique opportunity to apply your analytical expertise and data engineering skills toward shaping the next generation of intelligent analytics tools.
Key Responsibilities
- Analyze large, structured datasets to derive insights and reasoning-based solutions.
- Design multi-step analytical questions requiring critical thinking and data interpretation.
- Write and validate SQL queries (using DuckDB , pandas , or Python notebooks).
- Produce clear, human-readable explanations of analytical reasoning and findings.
- Format deliverables into structured JSON outputs (question, query, answer).
- Ensure consistency and quality through collaboration and reviewer feedback.
Ideal Qualifications
- 6+ years of 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 .
- Familiarity with iPython , Jupyter Notebooks , or GitHub workflows.
- Excellent written communication — able to clearly explain complex reasoning.
- Degree in Computer Science, Statistics, Mathematics , or a related field (Bachelor’s minimum; advanced degree preferred).
Project Details
- Duration: ~2 months
- Commitment: ~15 hours per week
- Schedule: Fully remote and asynchronous — flexible work hours
Compensation & Contract
- Rate: $100/hour (USD)
- Contract Type: Independent contractor
- Payments: Daily via Stripe Connect
Application & Onboarding Process
- Submit your resume highlighting your analytical and technical expertise.
- Complete a short AI-powered interview (~15 minutes).
- Receive next steps and onboarding details within a few days.
⚡ PS: Mercor team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. ⚡
About Call For Referral
Call for Referral will help job seekers to find referrals for jobs or internships.
Call For Referral is going to simplify the process of asking for referrals for candidates to one single referral request rather than 1000 DMs to people asking for referrals and also wea re making it easy for referrers to choose the candidate they want to refer.
we are building the most advanced referral system for job seekers, companies, and recruiters. Seems Excited!! stay tuned. We are opening Call For referral for #referrers, #referral, #candidates and #recruiters