Data Scientist
Mercor
Job Overview
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Job Description
About Mercor
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
This is a contract position with a compensation of $56–$77/hour, requiring a commitment of 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
The application process takes approximately 20–30 minutes to complete:
- Upload resume
- AI interview based on your resume
- Submit form
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- Data Analysis
- Predictive Modeling
- Machine Learning
- Statistical Methods
- Python
- Kaggle
- Big Data
- SQL
- Experiment Design
- LLMs
How to Get Hired at Mercor
- Research Mercor's mission: Study their focus on connecting talent with AI research labs and their investor backing.
- Highlight Kaggle achievements: Emphasize your Grandmaster status or comparable competitive data science experience prominently.
- Tailor resume for data science: Customize your resume to showcase 3-5+ years of Python, ML, and statistical methods.
- Prepare for AI interview: Practice answering technical and behavioral questions relevant to data science roles using an AI interviewer.
- Showcase big data expertise: Demonstrate familiarity with SQL, distributed datasets, and tools like Spark or Snowflake.
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