Machine Learning Researcher - Remote

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 Scientist

Type: Contract

Compensation: $56–$77/hour

Commitment: 30–40 hours/week

Role Responsibilities

• Analyze large, complex datasets to uncover patterns and inform modeling direction.
• Build predictive models, statistical analyses, and machine learning pipelines across various data types.
• Design and implement robust validation strategies and analytical methodologies.
• Develop automated data workflows and reproducible research environments.
• Conduct exploratory data analysis and model-driven investigations to support teams.
• Collaborate with ML engineers to productionize models and ensure reliable data workflows.

Qualifications

Must-Have

• Kaggle Competitions Grandmaster or comparable achievement.
• 3–5+ years of experience in data science or applied analytics.
• Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn).
• Experience building ML models end-to-end.
• Solid understanding of statistical methods and experiment design.
• Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools.
• Excellent communication skills.

Preferred

• Strong contributions across multiple Kaggle tracks.
• Experience in an AI lab, fintech, product analytics, or ML-focused organization.
• Knowledge of LLMs, embeddings, and modern ML techniques.
• Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery).
• Familiarity with statistical modeling frameworks such as Bayesian methods.

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: https://talent.docs.mercor.com/welcome/welcome
• For any help or support, reach out to: support@mercor.com

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

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