Data Science Specialist - Fully Remote

Visa Hunt; United States; Remote; USD 96,000 - 138,000; Full time

Job summary

Mercor is seeking a Data Science Expert for a remote, contract-based engagement. You will guide research and engineering teams on data science methodology, design challenging data science tasks, and provide rigorous evaluations of AI-driven solutions. 40 hours per week during weekdays are required.

Candidates should have 3+ years in data science, statistical modeling, or applied ML; strong written communication is essential to explain analytical decisions clearly.

Qualifications

• 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
• Strong written communication skills and the ability to explain analytical decisions clearly.

Responsibilities

• Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
• Design challenging data science tasks and write accurate, well-structured analytical solutions.
• Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
• Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Skills

Data science

Data analysis

Statistical modeling

Applied machine learning

Tools

LLMs

AI systems

Agentic frameworks

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey.

Position: Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week

Role Responsibilities

• Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices .
• Design challenging data science tasks and write accurate, well-structured analytical solutions.
• Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
• Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning , ML pipeline design , and data analysis approaches .
• Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

• Must-Have 3+ years of professional or research experience in data science , data analysis , statistical modeling , or applied machine learning . Ability to commit to 40 hours per week during weekdays for the duration of the engagement. Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.
• Preferred Prior experience with data annotation , labeling, evaluation, or human feedback collection. Experience with LLMs , AI systems , or agentic workflows; familiarity with agentic frameworks.

Compensation & Legal W-2 employment with Cincinnatus LLC.