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

Call For Referral; San Francisco (CA); Remote; USD 82,656 - 137,760; Part time

Job summary

A technology recruitment firm is seeking an experienced Data Scientist for a part-time remote role. This opportunity requires a solid background in data science techniques and tools, including Python and machine learning frameworks. The role offers flexibility in hours with a pay range of $60 to $100 per hour, depending on experience. Ideal for data scientists thriving in research-driven, technical environments.

Qualifications

• 3+ years of professional experience in data science or applied analytics.
• Strong foundation in exploratory data analysis and statistical inference.
• Meticulous attention to detail and data quality.

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.

Skills

Data science or applied analytics

Python

Exploratory data analysis

Statistical inference

Machine learning workflows

Feature engineering

Data preprocessing

A/B testing

Excellent verbal and written communication

Education

Bachelor’s degree in Data Science, Statistics, Computer Science

Tools

NumPy

Pandas

SciPy

SymPy

scikit-learn

TensorFlow

PyTorch

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.