Data Science Expert - Fully Remote | Upto $70/hr
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Data-Science, Analytics, Machine-Learning, Data-Engineering, Business-Intelligence, Remote-Senior-Data-Scientist, Contract-Data-Scientist
- Source
- himalayas
- First observed
- 2026-08-13 13:51 UTC
- Last seen
- 2026-08-13 13:51 UTC
- Source claims posted
- 2026-08-13 13:02 UTC
- Consecutive misses
- 7 of 10
What the posting says
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)
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Resources & Support
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Originally posted on Himalayas
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 8 observation(s).
- + Days open - fineOpen for 0 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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#44832 2026-08-13 13:51 UTCPublished
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#49490 2026-08-13 17:51 UTCNot seenMiss 1 in a row
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#50658 2026-08-13 19:52 UTCNot seenMiss 2 in a row
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#52545 2026-08-13 21:52 UTCNot seenMiss 3 in a row
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#53527 2026-08-13 23:52 UTCNot seenMiss 4 in a row
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#55050 2026-08-14 01:52 UTCNot seenMiss 5 in a row
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#55792 2026-08-14 03:52 UTCNot seenMiss 6 in a row
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#57006 2026-08-14 05:53 UTCNot seenMiss 7 in a row