Role overview

Qualifications

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.

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.

Key facts

Remote from: New York (USA)
Full time
Director of Data Science
English

Hard skills

Data Science Statistical Modeling Machine Learning Annotation Processing Statistical Thinking Multi-Agent Systems Agent-Based Model Online Communication

About the company

Mercor

Company details

Links

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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.

Application Process (Takes 20–30 mins to complete)

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Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to: support@mercor.com

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