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First seen by our source: 20 days ago

Data Science Expert - Fully Remote | Upto $70/hr

@ Mercor

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Toronto, Ontario

$60–$70/hr5+ years experience
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SIGNALS

Overview

Mercor is hiring Data Science and Analytics Experts on a remote contract paying $60 to $70 per hour. The role builds enterprise data science scenarios, analytics tasks and rubrics for AI research labs, drawing on experience from Fortune 500 organizations.

Pay:

$60–$70 an hour

Responsibilities:

  • Construct enterprise data science scenarios for predictive modeling and analytics governance
  • Build analytics tasks across ML development, data pipelines and business intelligence
  • Develop data and MLOps scenarios using Snowflake, Databricks and SageMaker
  • Author rubrics distinguishing enterprise data science judgment from textbook recall

Requirements summary:

  • 5+ years as a data scientist, analytics leader or ML engineer at a Fortune 500 organization
  • Direct ownership of F500 data products or ML systems in production
  • Fluency in enterprise data science tooling and F500 data governance and privacy
  • Prior rubric, curriculum or model documentation authorship preferred

Tools & skills

SnowflakeDatabricksPythonRSQLTableauPower BISageMakerVertex AIMLflow
Source and dates

Source type not verified · manatal

Employer posting date
Not provided
First seen by our source
2026-10-18
Source record updated
2026-10-18

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Experience5+ years
Travelair: none · ground: none
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Mercor

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

We connect human expertise with leading AI labs and enterprises to train frontier models.

Full company description

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

LinkedIn followers
654,507
People associated on LinkedIn
5,250
Reported office locations
  • San Francisco, California 94105, US
Business categories
  • Employment
  • Software
  • Recruiting
  • Data Collection and Labeling
  • Artificial Intelligence (AI)
  • Machine Learning
Other recorded names
  • Mercor
Profile identifies a recruitment agency
Yes
Reported total investment
483,600,000

Currency and observation date were not supplied; this is not a current valuation or a funding round.

View all jobs Website

Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.

FieldValue
IndustrySoftware Development
Company size51-200 employees
HeadquartersSan Francisco, California
Organization typePrivately Held
Year founded2023
Open jobs on Jobsy1,626
LinkedInView page
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 and Analytics Experts
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Construct enterprise data science scenarios for large-scale predictive modeling and multi-stakeholder analytics governance at Fortune 500 accounts.
  • Build analytics tasks across machine learning model development, enterprise data pipelines, and business intelligence at scale.
  • Develop data and MLOps scenarios using tools like Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms such as SageMaker, Vertex AI, and MLflow.
  • Apply enterprise data science methodologies, including statistical rigor, A/B testing frameworks, and MLOps best practices to produce reference analyses and executive-level insights.
  • Author rubrics that distinguish authentic enterprise data science judgment from generic textbook recall.

Qualifications

Must-Have

  • 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
  • Direct ownership of F500 data products, analytics initiatives, or machine learning systems in production.
  • Fluency in enterprise data science tooling and methodologies, with an understanding of F500 data governance and privacy compliance.

Preferred

  • Prior rubric, technical curriculum, or model documentation authorship.

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: [email protected]

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

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