Data Scientist (Part-Time | Remote | $60 $100/hr) (San Francisco) Job at Call For Referral, San Francisco, CA

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  • Call For Referral
  • San Francisco, CA

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 01 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 handson 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, parttime opportunity ideal for data scientists who thrive in researchdriven, 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, scikitlearn, 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 productionready 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, scikitlearn, TensorFlow, or PyTorch .
  • Bachelors 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: 2040 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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Job Tags

Hourly pay, Contract work, Remote work, Flexible hours,

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