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

mercor; India; Remote; INR 8,009,000 - 9,344,000; Part time

Job summary

Mercor is seeking a Data Science and Analytics Expert for a remote contract role. You will lead enterprise data science initiatives, develop predictive analytics, and govern analytics across large-scale programs for Fortune 500 accounts.

You will work with Snowflake, Databricks, Python/R, SQL, Tableau/Power BI and ML platforms (SageMaker, Vertex AI, MLflow) to deliver reference analyses and executive insights while upholding data governance and privacy standards.

Qualifications

• 5+ years as data scientist, analytics lead or ML engineer in enterprise.
• Owned Fortune 500 data products, analytics initiatives or ML systems in production.
• Fluency with enterprise data tooling, governance and privacy.

Responsibilities

• Construct enterprise data science scenarios for large-scale predictive modeling.
• Build analytics tasks across ML model development, pipelines and BI at scale.
• Develop data and MLOps scenarios using Snowflake, Databricks, Python/R, SQL, Tableau/Power BI and ML platforms.
• Apply rigorous data science methods including A/B testing and MLOps best practices.
• Author rubrics to distinguish authentic enterprise data science judgment.

Skills

Analytics leadership

A/B testing

Data governance

Privacy compliance

Tools

Snowflake

Databricks

Python

R

SQL

Tableau/Power BI

SageMaker

Vertex AI

MLflow

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.