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Remote Meta Data Science Jobs in California (NOW HIRING)

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

Eight Sleep

Data Scientist, Growth

San Francisco, CA · On-site +1

Experimentation frameworks for incrementality testing across our marketing channels (Meta, Google ... Employees approved for remote work must perform their duties from a single, company-approved based ...

Arine

Senior Data Scientist

San Francisco, CA · On-site +1

We combine cutting edge data science, machine learning, AI, and deep clinical expertise to ... meta-learners (T-/X-/R-learners)-and familiarity with libraries such as WeightIt, MatchIt, grf ...

Meta

Energy Analyst, New Transactions

San Francisco, CA · On-site +1

$132K/yr

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy ... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ...

Meta

Energy Analyst, New Transactions

Menlo Park, CA · On-site +1

$132K/yr

Meta is seeking an experienced Energy Analyst to join the Infrastructure Data Center (IDC) Energy ... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ...

Fanatics, Inc.

Senior Data Scientist

San Mateo, CA · On-site +1

$170K - $210K/yr

Work on data science projects across marketing and customer domains, including personalization ... Mondays and Fridays remote. * Ability to travel up to 10% of the time for partner meetings, events ...

Meta

Scaled Business Growth

Menlo Park, CA · Remote

$161K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Meta

Scaled Business Growth

San Francisco, CA · Remote

$161K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Meta

Scaled Business Growth

Menlo Park, CA · Remote

$134K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Meta

Scaled Business Growth

San Francisco, CA · Remote

$134K/yr

Meta empowers millions of businesses to connect with customers and drive real business outcomes ... Execute on projects by working closely with Product, Sales, Data Science, and other partners.

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

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All JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in California

Remote Meta Data Science information

What is the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in California? The most popular types of Meta Data Science jobs in California are:
What are popular job titles related to Remote Meta Data Science jobs in California? For Remote Meta Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in California look for? The top searched job categories for Remote Meta Data Science jobs in California are:
What cities in California are hiring for Remote Meta Data Science jobs? Cities in California with the most Remote Meta Data Science job openings:
Remote Meta Data Science jobs near you
Infographic showing various Remote Meta Data Science job openings in California as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Chief Data Scientist

Chief Data Scientist

Mercor

San Francisco, CA • Remote

$70 - $100/hr

Full-time

Posted 19 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 Experts
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 40 hours/week

Role Responsibilities

  • Guide research and engineering teams on data science methodology, statistical inference, and modeling best practices.
  • Design challenging data science tasks and write accurate, well-structured analytical solutions.
  • Evaluate data science tasks and solutions produced by AI systems and other experts; provide clear written technical feedback to improve correctness and rigor.
  • Develop guidelines and evaluation frameworks to assess the quality of statistical reasoning, ML pipeline design, and data analysis approaches.
  • Collaborate with other subject matter experts to ensure consistency and accuracy in training data.

Qualifications

Must-Have

  • 3+ years of professional or research experience in data science, data analysis, statistical modeling, or applied machine learning.
  • Ability to commit to 40 hours per week during weekdays for the duration of the engagement.
  • Strong written communication skills and the ability to explain analytical decisions and modeling choices clearly.

Preferred

  • Prior experience with data annotation, labeling, evaluation, or human feedback collection.
  • Experience with LLMs, AI systems, or agentic workflows; familiarity with agentic frameworks.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC.

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.