Data Science Team Lead
@ Mercor

Hybrid
$29,120
Hybrid
Part Time
Posted 4 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @mercor.com
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Job Details

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 Details

Title: Data Science Team Lead   |   Type: Hourly Contractor   |   Compensation: $14/hour   |   Location: Remote   |   Commitment: 20–40 hours/week

Role Responsibilities

  • Develop data collection and preprocessing pipelines from multiple agent simulations.
  • Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization.
  • Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends.
  • Conduct statistical analyses to evaluate AI system efficacy under varying conditions.
  • Collaborate with engineers to design evaluation frameworks measuring reasoning quality, adaptability, and efficiency.
  • Prototype data-driven tools and feedback loops to enhance model accuracy and agent behavior over time.

Qualifications

Must-Have: Strong background in data science, machine learning, or applied statistics. Proficient in Python, SQL, and familiar with libraries like Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow. Understanding of probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference). Experience with large-scale data systems such as Snowflake or BigQuery. Ability to collect, clean, and transform complex datasets into structured formats.

Preferred: Interest in AI agents and data-driven optimization of their reasoning and behavior. Enjoy collaborating with cross-functional teams to define KPIs and experiment setups.

Compensation & Legal

Hourly contractor compensated at $14/hour with weekly payments via Stripe Connect and bonus opportunities based on task completions.

Application Process

Upload resume, complete AI interview based on your resume, and submit a form. The process takes about 20–30 minutes.

Resources & Support

For process details, visit: https://talent.docs.mercor.com/welcome/welcome. For assistance, email support@mercor.com.

Key skills/competency

  • Data Collection
  • Preprocessing
  • Machine Learning
  • Dashboarding
  • Statistical Analysis
  • Data Visualization
  • Scripting
  • Experimentation
  • Collaboration
  • Prototyping
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How to Get Hired at Mercor

🎯 Tips for Getting Hired

  • Research Mercor's culture: Study their mission, investor background, and projects.
  • Customize your resume: Tailor skills to data pipelines and ML models.
  • Highlight technical expertise: Showcase Python, SQL, and ML libraries experience.
  • Prepare interview answers: Focus on data science challenges and results.

📝 Interview Preparation Advice

Technical Preparation

Review Python and SQL fundamentals.
Practice machine learning library implementations.
Study data preprocessing techniques.
Refresh statistical analysis methods.

Behavioral Questions

Describe team conflict resolution methods.
Explain past project collaboration experiences.
Discuss handling tight deadlines.
Share feedback incorporation examples.

Frequently Asked Questions