Data Science Expert

About The Job

Mercor

Benchmark

General Catalyst

Peter Thiel

Adam D'Angelo

Larry Summers

Jack Dorsey

Position:

Type:

Contract

Compensation:

$56/hour

Location:

Remote

Commitment:

30–40 hours/week

Role Responsibilities

• Analyze large, complex datasets to uncover patterns and develop insights. Inform modeling direction and improve AI model training.
• Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data.
• Design and implement robust validation strategies, experiment frameworks, and analytical methodologies.
• Develop automated data workflows, feature pipelines, and reproducible research environments.
• Conduct exploratory data analysis, hypothesis testing, and model-driven investigations to support research and product teams.
• Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale.
  

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: feature engineering, training, evaluation, and deployment.
• Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis.
• Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools.
• Excellent communication skills with the ability to clearly present analytical insights.
  

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 for text, images, and multimodal data.
• Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery).
• Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming.
  

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