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Remote Meta Data Science Jobs in California (NOW HIRING)

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Data Scientist

San Francisco, CA · On-site +1

$170K - $216K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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.

Apogee Global RMS

Senior Data Scientist

San Jose, CA · On-site +1

Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field ... Flexible remote work options. * Professional growth in AI/ML and advanced analytics. * Competitive ...

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:

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Data Scientist

San Francisco, CA · On-site +1

$204K - $259K/yr

Autonomous driving presents a new paradigm in data science: in addition to leveraging data ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Twilio

Staff Data Scientist

San Francisco, CA · On-site +1

Our dedication to remote-first work, and strong culture of connection and global inclusion means ... You will be part of a highly visible Data Science & Analytics team that serves as the trusted ...

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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 66% Full Time, 31% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution.

Senior Data Scientist

Apogee Global RMS

San Jose, CA • On-site, Remote

Contractor

Posted 12 days ago

Job description

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decision-making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data.
Key Responsibilities:
  • Build and optimize machine learning models and statistical algorithms.
  • Analyze large, structured and unstructured datasets to identify trends and insights.
  • Develop dashboards, visualizations, and automated reporting tools.
  • Partner with engineering, product, and business teams to integrate data-driven insights into strategy.
  • Validate model performance and ensure data quality, accuracy, and reliability.
  • Communicate findings clearly to technical and non-technical stakeholders.
  • Support ongoing AI/ML initiatives across the organization.

Requirements
  • Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 3+ years of experience in data science, machine learning, or advanced analytics.
  • Strong proficiency in Python, R, SQL, and ML libraries (Scikit-learn, TensorFlow, PyTorch).
  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
  • Solid understanding of statistical modeling, predictive analytics, and data engineering concepts.
  • Ability to translate complex data into clear, actionable insights.
  • Strong communication and problem-solving skills.

Preferred Experience:
  • Experience working in technology, SaaS, or data-driven environments.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Exposure to NLP, LLMs, or generative AI.
  • Experience with MLOps tools and model deployment workflows.
  • Background working with sensitive or regulated data (nice to have).

Benefits
Why Choose Apogee:
  • Opportunity to work on high-impact, data-driven projects.
  • Collaborative, innovative team environment.
  • Flexible remote work options.
  • Professional growth in AI/ML and advanced analytics.
  • Competitive compensation based on experience.

How to Apply:
For applications and inquiries, please email our Talent Team at : careers@apogeeglobalrms.com

Apply