Analytics Leader - Fully Remote | Upto $70/hr

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: Data Science and Analytics ExpertsType:ContractCompensation:$60–$70/hourLocation: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

Skills mentioned in the listing

PythonSQLData scienceMachine learningDatabricksSnowflakePower BITableauA/B testing

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Python · mentioned
e. 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 methodolo

SQL · mentioned
p 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 inclu

Data science · mentioned
Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Science and Analytics ExpertsType:ContractCompensation:$60–$70/hourLocation:Remote Role Responsibilities Construct enterprise data sci

Machine learning · mentioned
structure 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 t

Databricks · mentioned
ence 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 scien

Snowflake · mentioned
ss 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

Power BI · mentioned
Ops 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 statisti

Tableau · mentioned
a 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

A/B testing · mentioned
flow. 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 rubri