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Data Scientist (Part-Time | Remote | $60 –$100/hr)
Data Scientist (Part-Time | Remote | $60 –$100/hr)Call For Referral • San Francisco, CA, United States
Data Scientist (Part-Time | Remote | $60 –$100 / hr)

Data Scientist (Part-Time | Remote | $60 –$100 / hr)

Call For Referral • San Francisco, CA, United States
16 days ago
Job type
  • Part-time
  • Remote
Job description

Data Scientist (Part-Time | Remote | $60 –$100 / hr)

Call For Referral provided pay range

This range is provided by Call For Referral. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00 / hr - $100.00 / hr

Direct message the job poster from Call For Referral

Helping AI Startups Hire 0→1 Founding Engineers & Product Talent | Backend & Infra | US & Europe

Exceptional Data Scientists

Hourly Contract | Part-Time Remote | $60–$100 per hour

1. About the Role

Mercor is partnering with one of the world's leading AI research labs to engage experienced Data Scientists in developing robust, high-performance systems that power next-generation machine learning applications.

In this role, you will perform hands‑on data science work — from experiment design and data preprocessing to model development, evaluation, and deployment. You will also play a key role in writing, reviewing, and validating prompt-based datasets that train AI systems to think and reason more effectively.

This is a remote, part‑time opportunity ideal for data scientists who thrive in research‑driven, highly technical environments.

2. Key Responsibilities

  • Design and execute data science experiments for AI model development and evaluation.
  • Collect, preprocess, and analyze structured and unstructured datasets.
  • Build and validate machine learning models using modern frameworks (TensorFlow, PyTorch, scikit‑learn, etc.).
  • Conduct feature engineering, data wrangling , and statistical inference for experimentation and model optimization.
  • Write, review, and validate prompt-based questions and tasks used to train advanced AI models.
  • Collaborate closely with engineering and research teams to deploy production‑ready solutions.

3. Ideal Qualifications

  • 3+ years of professional experience in data science or applied analytics .
  • Proficiency in Python (Jupyter Notebooks) and libraries such as NumPy, Pandas, SciPy, SymPy, scikit‑learn, TensorFlow, or PyTorch .
  • Bachelor’s degree in Data Science, Statistics, Computer Science , or a related field from the U.S., Canada, U.K., Australia, or New Zealand .
  • Strong foundation in :
  • Exploratory data analysis and statistical inference
  • Machine learning workflows and model evaluation
  • Feature engineering, data preprocessing, and wrangling
  • A / B testing, experimentation, or causal inference
  • Excellent verbal and written communication skills.
  • Meticulous attention to detail and data quality.
  • 4. More About the Opportunity

  • Commitment : 20 – 40 hours per week (with potential to scale up to 80)
  • Schedule : Fully remote and asynchronous — work on your own time
  • Duration : Minimum 1 month, with potential extension based on performance
  • Start Date : Early September (applications reviewed on a rolling basis)
  • 5. Compensation & Contract Terms

  • Hourly Rate : $60–$100 / hour (based on experience and region)
  • Payments : Weekly via Stripe Connect for services rendered
  • Terms : Flexible, based on location and expertise
  • 6. Application Process

  • Submit your resume or portfolio to begin.
  • Complete a brief form outlining your technical background and agent usage experience.
  • Applications are reviewed continuously — selected candidates will be contacted for next steps.
  • ⚡ PS : Mercor reviews applications daily. Please complete your interview and onboarding steps to be considered for this opportunity.

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    Data Scientist • San Francisco, CA, United States

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