First seen by our source: 20 days ago
Enterprise Data Science Specialist
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a contract Data Science and Analytics Expert, remote, at $60 to $70 per hour. The role builds enterprise data science scenarios and analytics tasks for AI research labs, covering predictive modeling, data pipelines, business intelligence and MLOps. The posting requires 5+ years at a Fortune 500 organization and the work is contract-based.
Pay:
$60–$70 an hour
Responsibilities:
- Build enterprise data science scenarios for predictive modeling and analytics governance
- Develop analytics tasks across ML, data pipelines and business intelligence
- Apply statistical rigor, A/B testing and MLOps best practices
- Author rubrics distinguishing enterprise judgment from textbook recall
Requirements summary:
- 5+ years as data scientist, analytics leader or ML engineer at a Fortune 500 company
- Direct ownership of F500 data products or production ML systems
- Fluency in enterprise data science tooling and methodologies
- Understanding of F500 data governance and privacy compliance
- Preferred: prior rubric, curriculum or model documentation authorship
Tools & skills
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
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 5+ years |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
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.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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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