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Political Data Science Jobs in California (NOW HIRING)

Menlo Ventures

Senior Data Scientist

San Francisco, CA · On-site

$123.20 - $218/hr

Shape the direction of key data science areas for 2020 - usage forecasting, product analytics, user ... ability, political affiliation, race, religion, sexual orientation, socio‑economic status ...

Databricks

Senior Data Scientist

Mountain View, CA · On-site

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 ...

Databricks Inc.

Senior Data Scientist

Mountain View, CA · On-site

$123.20 - $218/hr

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

OC Sports and Entertainment

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 ...

OCVIBE

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 ...

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All JobsPolitical Data Science JobsPolitical Data Science Jobs in California

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 Aug 9, 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 political data science, 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 the typical daily responsibilities of 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?

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 job categories do people searching Political Data Science jobs in California look for? The top searched job categories for Political Data Science jobs in California are:
What cities in California are hiring for Political Data Science jobs? Cities in California with the most Political Data Science job openings:
Political Data Science jobs near you
Infographic showing various Political Data Science job openings in California as of August 2026, with employment types broken down into 5% Internship, 55% Full Time, 29% Part Time, and 11% Temporary. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Senior Data Scientist

United States Digital Space LLC

Mountain View, CA • On-site

$123.20 - $218/hr

Other

Posted 4 days ago

Job description

As a Data Scientist on the Data Team, you will help build a data-driven culture within the company by helping solve product and business challenges. The Data team also functions as a in-house, production "customer" that dogfoods the company and drives the future direction of the products.

Impact you will have
  • Shape the direction of some of our key data science areas for 2020 - usage forecasting, product analytics, user behavior and funnel analysis.
  • Work closely with Product Management, Sales, Customer Success and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
  • Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience.
  • Mentor and guide data-scientists on the team by helping with project planning, technical decisions, and code and document review.
  • Build self-serving internal data products to make data simple within the company.
What we look for
  • Experience in applying Data Science / ML in production to build data-driven products for solving business problems.
  • Familiarity with Product Analytics - understanding and tracking customer and user behaviour using lenses like adoption, churn, cohorts and funnel analysis.
  • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Customer Success and Engineering at the moment, but also work with the Sales, Marketing and Finance organizations.
  • Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
  • Proficient in data analysis and visualization using tools like R and Python.
  • Experience with distributed data processing systems like Spark and Hadoop, and proficiency in SQL.
  • BS/MS/PhD in Computer Science, or a related field
Pay Range

$123,200 — $218,000 USD

EEO Statement

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

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