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

Mercor; England; Remote; GBP 61,000 - 72,000; Full time

Job summary

Mercor is seeking a Data Science Expert for a fully remote contract role with hourly compensation of $60–$70. You will lead enterprise data science initiatives, build predictive models, and guide analytics governance for high-impact clients.

The ideal candidate has 5+ years in data science or ML engineering within Fortune 500 environments, strong tooling fluency (Snowflake, Databricks, Python/R, SQL, Tableau/Power BI), and a track record of delivering production-grade analytics.

Qualifications

• 5+ years as data scientist, analytics leader, or ML engineer in enterprise-scale environments.
• Direct ownership of analytics initiatives or ML systems in production.
• Experience with governance and privacy in enterprise data.

Responsibilities

• Construct enterprise data science scenarios for large-scale predictive modeling and analytics governance.
• Develop analytics tasks across ML model development, data pipelines, and BI at scale.
• Build data science and MLOps scenarios using Snowflake, Databricks, Python/R, SQL, and BI tools.

Skills

5+ years data science

Analytics leadership

ML model development

Tools

Snowflake

Databricks

Python/R

SQL

Tableau/Power BI

SageMaker

Vertex AI

MLflow

Job description

Data Science Expert - Fully Remote | Upto $70/hr Mercor London, England, United Kingdom

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.

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Remote