Analytics Leader - Fully Remote | Upto $70/hr
Budget / Salary$60–70
TypeContract
LocationUnited States
Posted2 hours ago
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, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts.
Build analytics tasks across F500 machine learning model development, enterprise data pipelines, and business intelligence at scale.
Develop data and MLOps scenarios using tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms like SageMaker, Vertex AI, and MLflow.
Apply enterprise data science methodologies including statistical rigor, A/B testing frameworks, model validation, and MLOps best practices to produce reference analyses and executive-level insights.
Author rubrics that distinguish authentic enterprise data science judgment from generic textbook or tutorial-level 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 understanding of F500 data governance, privacy compliance, and cross-functional stakeholder alignment.
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:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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, multi-stakeholder analytics governance, and complex data infrastructure decisions at Fortune 500 accounts.
Build analytics tasks across F500 machine learning model development, enterprise data pipelines, and business intelligence at scale.
Develop data and MLOps scenarios using tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms like SageMaker, Vertex AI, and MLflow.
Apply enterprise data science methodologies including statistical rigor, A/B testing frameworks, model validation, and MLOps best practices to produce reference analyses and executive-level insights.
Author rubrics that distinguish authentic enterprise data science judgment from generic textbook or tutorial-level 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 understanding of F500 data governance, privacy compliance, and cross-functional stakeholder alignment.
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:
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
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