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Union Data Science Jobs in California (NOW HIRING)

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing ... science or closely related field and a minimum of five years of Azure migration experience.

Data Warehousing Specialist

Los Angeles, CA · On-site +1

$183K - $202K/yr

Requires a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Mathematics ... Benefits for Union represented employees will be in accordance with the applicable collective ...

Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB ... Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of ...

Senior Data Operations Analyst

San Diego, CA · On-site

$91K - $115K/yr

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing ... Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field ...

Senior Data Operations Analyst

San Diego, CA · On-site

$91K - $115K/yr

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing ... Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field ...

Showing results 41-60

Union Data Science information

See California salary details

$45.4K

$162.9K

$240.3K

How much do union data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for union 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 is a union data scientist?

A Union Data Scientist is a professional who applies data science techniques and methodologies within labor unions or organizations representing workers. Their role typically involves analyzing large datasets to support collective bargaining, improve workplace conditions, and inform union strategies. They may work with membership data, wage information, and industry trends to generate actionable insights. Union Data Scientists play a key role in helping unions make data-driven decisions to better advocate for their members.

What is the difference between Union Data Science vs Data Analyst?

AspectUnion Data ScienceData Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst or Google Data Analytics
Work EnvironmentCollaborative teams within unions or labor organizations, often project-basedOffice settings in various industries, focusing on data interpretation and reporting
Employer & Industry UsageLabor unions, advocacy groups, government agenciesCorporations, consulting firms, government agencies across multiple sectors

Union Data Scientists and Data Analysts both analyze data, but Union Data Science roles often focus on labor-related issues within union organizations, requiring similar technical skills but applied in advocacy or policy contexts. Data Analysts typically work across industries to interpret data for business decisions. The key differences lie in their work environment and primary focus areas.

What are the key skills and qualifications needed to thrive as a union data scientist, and why are they important?

To thrive as a Union Data Scientist, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and database management systems is typically required. Excellent communication, problem-solving abilities, and collaboration skills help translate complex data insights to union stakeholders and support collective bargaining strategies. These skills are crucial for driving data-informed decision-making and advancing the goals of union organizations.

Are union data science jobs still in demand?

Union data science jobs remain in demand due to the growing reliance on data-driven decision-making across industries. These roles often require skills in statistical analysis, machine learning, and proficiency with tools like Python or R, with job stability influenced by union agreements and industry growth trends.

How do union data scientists typically collaborate with union leadership and members to address workplace issues?

Union Data Scientists often work closely with union leadership, organizers, and members to analyze workplace data—such as wage trends, grievance outcomes, or safety incidents—to support collective bargaining and policy advocacy. They translate complex data findings into actionable insights that inform negotiations or campaigns, requiring strong communication and collaboration skills. Regular interactions may involve presenting data to non-technical audiences or participating in strategy sessions, making teamwork and the ability to convey technical information in accessible ways essential to the role.
What are the most commonly searched types of Data Science jobs in California? The most popular types of Data Science jobs in California are:
What cities in California are hiring for Union Data Science jobs? Cities in California with the most Union Data Science job openings:
Infographic showing various Union Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Junior java developer /Data Analyst/Scientist

SynergisticIT

Los Angeles, CA • On-site

Other

Posted 9 days ago


Job description

Your Tech Career Is Still Within Reach? Rebuild Momentum With a Placement Process Even if you’ve been rejected, laid off, or out of the field for years, your tech career is still within reach. SynergisticIT helps you rebuild your confidence and sharpen your skills through hands‑on real‑world projects. You’ll also receive interview coaching and resume optimization that highlight your strengths. Also get marketed directly to Fortune 500 companies, giving you access to opportunities that most job seekers never see. Your career isn’t over — it’s waiting for the right opportunity. Synergisticit helps you reach it faster. A career gap doesn’t disqualify you — outdated skills do. But the job market can still feel brutal: you apply daily, watch automated rejections roll in, and wonder why your experience isn’t translating into interviews. The truth is that hiring has shifted. Employers want candidates who match current stacks, show recent hands-on proof, and interview strongly. If you’ve been out for 3–6+ months, that gap can become an extra filter—unless you deliberately rebuild momentum. We’re actively engaging candidates for full-time opportunities aligned to client needs: software programming, Java full stack development, Java/Python roles, DevOps engineering, and data roles spanning analytics, engineering, science, and ML/AI. Our primary focus remains Java/Full Stack/DevOps and Data/Engineering/Analytics/ML. SynergisticIT since 2010 has helped candidates land full-time roles at major organizations (examples often listed include Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Citi, Bank of America, Wayfair, and others), with offers in the $95k–$154k range depending on role and stack. Why laid-off candidates often struggle (even with experience) After a layoff, two things happen: Your skills may be solid, but your keywords and tools may be slightly behind the market. Your interview performance may drop because stress makes you second-guess. Also, employers increasingly expect hybrid capability: not just “I coded,” but “I can build + deploy + collaborate + document + explain.” That’s especially true for Java full stack, DevOps, data engineering, and ML/AI. What roles are commonly in demand right now Laid-off candidates often do best targeting roles that map to consistent enterprise demand. The main lanes include: Entry-level to mid-level software engineering roles (especially backend/full stack) Java full stack roles (enterprise stability) Java/Python developer roles (flexibility across teams) DevOps/Cloud roles (automation, pipelines, reliability) Data roles (analytics → engineering → ML/AI) why placement support matters rebuild a job-ready portfolio fast adjust your resume and LinkedIn for ATS practice interviews under real conditions get scheduled interviews through structured outreach A layoff recovery plan that actually works A smart recovery plan is not “apply more.” It’s: Re-stack: align skills to today’s demand (Java/full stack/devops or data/ML). Rebuild proof: projects that look like work, not homework. Rehearse interviews: DSA, system design, SQL, behavioral storytelling. Re-enter pipelines: structured outreach that leads to scheduled interviews. If you follow that with consistent coaching and iteration, your layoff becomes a pivot point—not a pause. If you’re ready to stop refreshing job boards and start rebuilding momentum with support, begin here: If you want to explore here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Layoff reality: It can happen to anyone. Career recovery is a strategy problem, not a worth problem. In tech, it’s not only what you know—it’s how you position it and who guides you that determines how quickly you return stronger. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.