About the role
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. Collaborate with researchers and engineers to design rigorous experiments.
- Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data.
- Design and implement robust validation strategies and experiment frameworks. Develop data-driven frameworks to support product and research decisions.
- Develop automated data workflows and feature pipelines. Ensure reproducible research environments.
- Conduct exploratory data analysis, hypothesis testing, and model-driven investigations. Translate outcomes into recommendations for engineering, product, and leadership teams.
- Collaborate with ML engineers to productionize models. 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 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 for text, images, and multimodal data.
- 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. ,
About the role
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. Collaborate with researchers and engineers to design rigorous experiments.
- Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data.
- Design and implement robust validation strategies and experiment frameworks. Develop data-driven frameworks to support product and research decisions.
- Develop automated data workflows and feature pipelines. Ensure reproducible research environments.
- Conduct exploratory data analysis, hypothesis testing, and model-driven investigations. Translate outcomes into recommendations for engineering, product, and leadership teams.
- Collaborate with ML engineers to productionize models. 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 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 for text, images, and multimodal data.
- 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. ,