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Statistics Data Science Jobs in California (NOW HIRING)

MSc or PhD in statistics, data science, or a quantitative STEM field, or equivalent experience ... * 1+ years in a research, research-engineering, or heavy data-analysis role. * Proficiency in ...

Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies. * Stay updated on industry trends and best practices regarding data science methodologies and ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality ...

Senior Data Scientist

South San Francisco, CA · On-site

$156.20 - $290.20/hr

Provide statistical expertise and develop data science solutions to Pharma technical operations, including process development, analytical method development, commercial manufacturing and quality ...

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Showing results 1-20

Statistics Data Science information

See California salary details

$45.4K

$162.9K

$240.3K

How much do statistics data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for statistics data science in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

What jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions involve analyzing data, building models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are popular job titles related to Statistics Data Science jobs in California?

For Statistics Data Science jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Statistics Data Science jobs?

Cities in California with the most Statistics Data Science job openings:

Infographic showing various Statistics Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Science Expert - AI/ML

Mercor

San Francisco, CA • Remote

$60 - $90/hr

Full-time

Posted 8 days ago


Job description

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: Data Science & Quantitative Analysis Expert
Type: Contract
Compensation: $60–$90/hour
Location: Remote
Commitment: 35 hours/week

Role Responsibilities

  • Design complex analysis tasks simulating real research work, including data cleaning, statistical analysis, and interpretation.
  • Author clear, reproducible reference analyses in Jupyter Notebooks or Google Colab.
  • Build tasks for fair comparison between analytical approaches, backed by spot checks and recommendations.
  • Evaluate how models handle tasks and verify the accuracy of their statistics and conclusions.
  • Collaborate with researchers to ensure consistent and accurate evaluations.

Qualifications

Must-Have

  • MSc or PhD in statistics, data science, or a quantitative STEM field, or equivalent experience.
  • 1+ years in a research, research-engineering, or heavy data-analysis role.
  • Proficiency in Python (pandas, NumPy) and Git.
  • Strong data-analysis skills: data cleaning, statistical correlation, hypothesis testing, and result interpretation.
  • Ability to communicate analytical findings effectively in writing.

Preferred

  • Experience in AI training, model evaluation, or benchmark/task authoring.
  • High attention to detail and creativity in task design.

Compensation & Legal

  • Hourly contractor, Paid weekly via Stripe Connect

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.