Analytics Leader - Fully Remote | Upto $70/hr

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

Job summary

Mercor recruits data science and analytics experts to design enterprise-grade analytics and ML initiatives for Fortune 500 clients. The role emphasizes ownership of end-to-end data products, governance, and robust ML systems in production environments.

Candidates will build scalable analytics pipelines, develop MLOps scenarios using Snowflake, Databricks, Python/R, SQL, and BI tools, and apply rigorous model validation with stakeholder alignment.

Qualifications

• 5+ years working as a data scientist, analytics leader, or ML engineer at a Fortune 500 technology or enterprise organization.
• Direct ownership of Fortune 500 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.

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.

Skills

Data science

Analytics leadership

ML engineering

Enterprise data governance

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 , 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.

Originally posted on Himalayas