Machine Learning Scientist - 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
.

Data Scientist

Contract

$56–$77/hour

30–40 hours/week

• 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 product ionize models and ensure reliable data workflows.

• Kaggle Competitions Grand master or comparable achievement.
• 3–5+ years of experience in data science or applied analytics.
• Strong proficiency in Python and data tools (Pandas, Num Py, 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.

• 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, Big Query).
• Familiarity with statistical modeling frameworks such as Bayesian methods.

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