Analytics Leader - Fully Remote | Upto $70/hr

Are you a seasoned analytics professional with a knack for transforming complex data into strategic insights? Imagine playing a pivotal role in shaping the data science landscape for some of the world's largest companies, all from the comfort of your own space. At Mercor, we're building bridges between exceptional talent and cutting-edge AI research labs. This is your chance to lead sophisticated data initiatives, driving real impact at Fortune 500 accounts. If you thrive on challenging the status quo and are ready to contribute to high-stakes projects globally, then we invite you to explore this truly worldwide remote opportunity.

Overview

Mercor, headquartered in San Francisco, is on a mission to connect elite creative and technical talent with leading AI research labs. We are proudly backed by visionary investors including Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. This opening is for a highly skilled Data Science and Analytics Expert to join us as a contractor, offering a competitive compensation of $60 to $70 per hour. This is a fully remote position, open to exceptional candidates from anywhere in the world.

Key Responsibilities

Architect sophisticated enterprise data science scenarios, focusing on large-scale predictive modeling, comprehensive multi-stakeholder analytics governance, and critical data infrastructure decisions for Fortune 500 clients.
Execute diverse analytics tasks across F500 machine learning model development lifecycles, enterprise data pipeline construction, and business intelligence solutions at scale.
Develop robust data and MLOps scenarios utilizing industry-leading tools such as Snowflake, Databricks, Python/R, SQL, and visualization platforms like Tableau/Power BI.
Leverage enterprise-grade ML platforms including SageMaker, Vertex AI, and MLflow to drive innovative solutions.
Implement rigorous enterprise data science methodologies, encompassing statistical rigor, A/B testing frameworks, thorough model validation, and adhering to MLOps best practices, to deliver insightful reference analyses and executive-level strategic recommendations.
Create clear rubrics and frameworks that ensure the authenticity and high quality of enterprise data science implementations.

Requirements

Demonstrated expert-level experience in enterprise data science, including a strong track record in large-scale predictive modeling and managing complex analytics governance.
Proficiency in building and managing enterprise data pipelines and developing business intelligence solutions at scale within large organizations.
Hands-on expertise with key data tools and languages such as Snowflake, Databricks, Python/R, and SQL.
Proven ability to develop compelling data visualizations using tools like Tableau or Power BI.
Experience with enterprise machine learning platforms such as AWS SageMaker, Google Cloud Vertex AI, or MLflow.
Deep understanding and practical application of MLOps best practices, statistical rigor, A/B testing frameworks, and advanced model validation techniques.
Exceptional communication skills, capable of translating complex analytical findings into clear, actionable executive-level insights.
Experience working with or supporting Fortune 500 accounts is highly desirable.

What You'll Gain

The opportunity to make a significant impact on enterprise data science strategies at some of the world's most prominent Fortune 500 companies.
Work at the forefront of AI research, collaborating with elite talent and cutting-edge technologies.
Enjoy competitive compensation at a rate of up to $70 per hour for your expertise.
Experience the ultimate flexibility and work-life balance in a fully remote role, allowing you to contribute from anywhere in the world.
Join a company backed by an incredible roster of influential investors, opening doors to unique learning and networking opportunities.