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Political Data Science Jobs in California (NOW HIRING)

Data Science Director

Menlo Park, CA · On-site

$253K - $314K/yr

Responsibilities Inspire, lead and grow a distributed team of data scientists and data science ... genetic information, political views or activity, or other applicable legally protected ...

Shape the direction of some of our key data science areas for 2020 - usage forecasting, product ... political affiliation, race, religion, sexual orientation, socio-economic status, veteran status ...

Academic background in hard science, such as physics, mathematics, computer science, engineering ... political affiliation, sexual orientation, marital status, disability, genetic information, age ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Academic background in hard science, such as physics, mathematics, computer science, engineering ... political affiliation, sexual orientation, marital status, disability, genetic information, age ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Academic background in hard science, such as physics, mathematics, computer science, engineering ... political affiliation, sexual orientation, marital status, disability, genetic information, age ...

Academic background in hard science, such as physics, mathematics, computer science, engineering ... political affiliation, sexual orientation, marital status, disability, genetic information, age ...

Academic background in hard science, such as physics, mathematics, computer science, engineering ... political affiliation, sexual orientation, marital status, disability, genetic information, age ...

$113K - $154K/yr

It operates across four core markets: political news and opinion, business news and personal ... In this role, you'll collaborate closely with Data Product, Data Science, Analytics, and ...

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Showing results 1-20

Political Data Science information

See California salary details

$45.4K

$162.9K

$240.3K

How much do political data science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for political 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 the key skills and qualifications needed to thrive in the Political Data Science position, and why are they important?

To thrive in Political Data Science, you need expertise in statistics, quantitative research methods, and programming (such as Python or R), often supported by a degree in data science, political science, or a related field. Familiarity with data visualization tools like Tableau, statistical software, and experience with databases and big data platforms are typically important, and certifications in data analytics can be an asset. Strong analytical thinking, collaboration, and effective communication skills help you explain complex findings to non-technical stakeholders. These abilities are crucial for providing actionable insights that influence strategic decisions in political campaigns, policy analysis, or governmental organizations.

What are typical daily responsibilities for a Political Data Science professional?

Political Data Science professionals typically spend their days collecting and cleaning large datasets related to voter behavior, public opinion, or legislative trends, and developing statistical models to interpret this information. They collaborate closely with campaign strategists, policy analysts, and communication teams to translate data-driven findings into actionable strategies. Presenting results through visualizations and clear reports is a key part of the job, ensuring that technical insights can influence decisions. The work often involves managing multiple projects simultaneously and adapting quickly to the fast-paced environment of politics and public policy.

What is a Political Data Science job?

A Political Data Science job involves analyzing political data to uncover trends, inform policy decisions, and support political campaigns or organizations. Professionals in this field use statistical modeling, machine learning, and data visualization to interpret voter behavior, public opinion, and legislative patterns. They often work with large datasets from surveys, elections, and social media to provide data-driven insights.

What are the most commonly searched types of Political Data Science jobs in California? The most popular types of Political Data Science jobs in California are:
What are popular job titles related to Political Data Science jobs in California? For Political Data Science jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Political Data Science jobs? Cities in California with the most Political Data Science job openings:
Infographic showing various Political Data Science job openings in California as of July 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.
Data Science Director

Data Science Director

Meta

Menlo Park, CA • On-site

$253K - $314K/yr

Full-time

Posted 8 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 245 rated software companies


Job description

We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations. About the role: People leadership: You will inspire, lead and grow a world-class team. Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem. Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them. Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Responsibilities
Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
• Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
• Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
• Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
Minimum Qualifications
• 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
• Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
• Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
• Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
• Experience working effectively with multiple stakeholders and cross-functionally.
• Effective communication skills.
Preferred Qualifications
• Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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