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Senior Data Scientist - AI Expert

Role overview

Qualifications

  • 4+ years of professional data science, data engineering, or machine learning experience
  • Strong command of Python, SQL, statistical modeling, machine learning, experimentation, and causal inference
  • Proven ability to turn messy real-world data into rigorous analyses and reliable pipelines
  • Excellent written English, including the ability to explain technical findings clearly

Responsibilities

  • Design realistic, challenging data science and data engineering tasks, including exploratory analyses, statistical modeling, machine learning pipelines, ETL, and data pipeline design
  • Illustrate 'what good looks like' by writing precise, task-specific criteria for data science and data engineering deliverables
  • Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible
  • Take structured feedback from senior reviewers and iterate on submitted work

Key facts

Hard skills

Other skills

  • Detail Oriented

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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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: Senior Data Scientist and Data Engineering Experts
Type: Contract
Compensation: $120–$180/hour
Location: Remote

Role Responsibilities

  • Design realistic, challenging data science and data engineering tasks, including exploratory analyses, statistical modeling, machine learning pipelines, ETL, and data pipeline design.
  • Illustrate "what good looks like" by writing precise, task-specific criteria for data science and data engineering deliverables.
  • Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
  • Take structured feedback from senior reviewers and iterate on submitted work.
  • Train and evaluate frontier AI models using expertise from top technology, quantitative, or financial firms.
  • Work independently and asynchronously to improve AI model performance.

Qualifications

Must-Have

  • 4+ years of professional data science, data engineering, or machine learning experience.
  • Strong command of Python, SQL, statistical modeling, machine learning, experimentation, and causal inference.
  • Proven ability to turn messy real-world data into rigorous analyses and reliable pipelines.
  • Excellent written English, including the ability to explain technical findings clearly.
  • Bachelor's degree from an English-speaking country.
  • Detail-oriented, consistent approach to evaluating complex work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

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

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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