Skip to content
mimi

Chief Data Scientist Part-Time $100/hr

Mercor

Toronto · On-site Part-time Executive $50 – $100/hr 2w ago

About the role

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: Researcher/Technical Expert

Type: Contract

Compensation: $50–$100/hour

Commitment: 30+ hours/week

Role Responsibilities

• Design challenging, real-world STEM problems. • Implement tasks in an agentic development environment using Python. • Evaluate AI model reasoning and problem-solving in data science, machine learning, finance, and coding. • Analyze model/agent behavior to diagnose gaps in reasoning and problem-solving. • Collaborate with subject matter experts to ensure task robustness and real-world applicability. • Work independently and asynchronously to deliver reproducible and testable outputs. Qualifications Must-Have

• Deep expertise in data science, machine learning, finance, and/or Python-based coding. • Active or recently graduated PhD (Top 20 U.S.-based school). • Strong research background in frontier STEM topics. • Ability to engage reliably for 30+ hours/week, primarily on weekdays. • Demonstrated technical output such as high-quality open-source contributions. • Comfort reading and reasoning about agent behavior traces. Preferred • Familiarity with agentic frameworks and OSS ecosystems like LangChain, MetaGPT, AutoGen, AutoGPT, CrewAI, LlamaIndex, BabyAGI, SuperAGI, CAMEL, AgentGPT, Dify. 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/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.

Requirements

  • Deep expertise in data science, machine learning, finance, and/or Python-based coding.
  • Active or recently graduated PhD (Top 20 U.S.-based school).
  • Strong research background in frontier STEM topics.
  • Ability to engage reliably for 30+ hours/week, primarily on weekdays.
  • Demonstrated technical output such as high-quality open-source contributions.
  • Comfort reading and reasoning about agent behavior traces.

Responsibilities

  • Design challenging, real-world STEM problems.
  • Implement tasks in an agentic development environment using Python.
  • Evaluate AI model reasoning and problem-solving in data science, machine learning, finance, and coding.
  • Analyze model/agent behavior to diagnose gaps in reasoning and problem-solving.
  • Collaborate with subject matter experts to ensure task robustness and real-world applicability.
  • Work independently and asynchronously to deliver reproducible and testable outputs.

Skills

PythonData ScienceMachine LearningFinanceAgentic Development Environment

Don't send a generic resume

Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.

Get started free