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Volunteer Political Data Science Jobs in Riverside, CA

OCVIBE

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

... computer science, engineering, or a related field * Production-grade pipeline development ... political affiliation, sexual orientation, marital status, disability, genetic information, age ...

Hill International

Sr Scheduler

Pomona, CA · Hybrid

$115K - $130K/yr

Bachelor's degree in engineering, data science, construction management, business, finance, or ... Insurance, Voluntary Life & Accidental Death & Dismemberment Insurance. Paid Time Off (PTO ...

Yum! Brands

Sr. Product Manager I

Irvine, CA · Hybrid

$135K - $179K/yr

... volunteering Tuition reimbursement and education benefits Generous parental leave for all new ... Partner closely with engineering, production services, design, data science, and other product ...

Hyundai Capital

Sr. Integration Engineer

Irvine, CA · On-site

$140 - $190/hr

... data integration concepts preferred. * Bachelor's degree in Computer Science, Information ... Paid Volunteer Time Off and a company charitable donation in your honor Because great benefits help ...

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All JobsVolunteer Political Data Science JobsVolunteer Political Data Science Jobs in Riverside, CA

Volunteer Political Data Science information

What is a volunteer political data scientist?

Volunteer Political Data Scientists are individuals who use data analysis, statistics, and programming skills to support political campaigns, advocacy groups, or non-profit organizations on a voluntary basis. They help gather, clean, and interpret political data to inform strategies, improve outreach, and measure campaign effectiveness. Their work may include analyzing voter data, creating visualizations, building predictive models, or advising on data-driven decision making. These roles are typically unpaid, but they offer valuable experience and the chance to make a positive impact on causes or elections.

How do volunteer political data scientists typically collaborate with campaign teams to drive data-driven decision making?

Volunteer Political Data Scientists often work closely with campaign managers, field organizers, and communications teams to translate raw data into actionable insights. They may assist in developing voter targeting models, analyzing survey results, or visualizing demographic trends to inform outreach strategies. Regular communication is essential, as data scientists must explain technical findings in accessible terms and adapt analyses based on the evolving needs of the campaign. This collaborative environment provides opportunities to learn from diverse team members and contribute meaningfully to the campaign's success.

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

To thrive as a Volunteer Political Data Scientist, you need strong analytical skills, proficiency in statistics, and experience with data analysis, typically supported by a background in data science or related fields. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as experience with political datasets, is commonly required. Excellent communication, teamwork, and adaptability are crucial soft skills for translating complex data into actionable insights and collaborating with campaign teams. These skills enable accurate, data-driven decision-making that can significantly impact political strategies and outcomes.

What is the difference between Volunteer Political Data Science vs Volunteer Data Analyst?

AspectVolunteer Political Data ScienceVolunteer Data Analyst
Required SkillsData analysis, political science knowledge, statistical toolsData analysis, Excel, basic statistical skills
Work EnvironmentPolitical campaigns, advocacy groups, non-profitsVarious industries including business, healthcare, government
CertificationsStatistical or data analysis certifications, political science backgroundBasic data analysis certifications, no specific political background needed

Volunteer Political Data Science focuses on applying data analysis within political contexts, requiring knowledge of political issues and advanced statistical skills. Volunteer Data Analysts work across diverse sectors with general data skills. While both roles involve data analysis, Volunteer Political Data Science emphasizes political applications, making it more specialized for those interested in politics and campaigns.

What job categories do people searching Volunteer Political Data Science jobs in Riverside, CA look for? The top searched job categories for Volunteer Political Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Volunteer Political Data Science jobs? Cities near Riverside, CA with the most Volunteer Political Data Science job openings:
Volunteer Political Data Science jobs near you

Lead Data Engineer

OCVIBE

Anaheim, CA • On-site

$140K - $180K/yr

Full-time

Re-posted 8 days ago

Job description

A great experience starts with you!

Join our team to help create and develop the future of live entertainment and sports in Orange County!

Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.

Mission:To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.

Vision: We will be the social and entertainment center of Orange County - a place where the cultural kaleidoscope of the region converges and connects. Our vibrant, rich collection of experiences will celebrate the diversity of our community.

Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold

Job Title:Lead Data Engineer

Pay Details:

The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate's geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.

The Lead Data Engineer is responsible for designing, building, and governing a reliable data warehouse architecture that unifies key business data across ticketing, loyalty, and F&B systems. This role owns critical data engineering standards, identity resolution, Azure environment governance, and production-grade pipeline development while partnering with business and technical stakeholders to deliver trusted data products that support analytics, operations, and decision-making.

Responsibilities

  • Design and build a governed data warehouse architecture that unifies ticketing, loyalty, and F&B data into a single trusted source of truth

  • Own identity resolution end-to-end, including defining the entity framework, setting coverage standards, and expanding capabilities as new source systems are onboarded

  • Govern the Azure data environment, including monitoring, alerting, cost controls, and consolidation into a single reliable warehouse

  • Serve as the internal technical counterpart to the implementation partner by auditing the existing platform, evaluating architectural decisions, and driving toward full internal ownership

  • Translate complex data architecture decisions for non-technical business partners and collaborate with analytics and operations teams to deliver data products that drive business decisions

  • Mentor engineers and help build a culture of technical rigor while remaining hands-on as a builder

Qualifications

  • 6-9 years of hands-on data engineering experience designing and building production-grade systems

  • Academic background in a quantitative or technical field such as physics, mathematics, computer science, engineering, or a related field

  • Production-grade pipeline development experience in Python and advanced SQL, with strong attention to performance, observability, and maintainability

  • Production experience with dbt, including project structure, robust test coverage, and development of reliable transformation layers that support downstream reporting and analytics

  • Production experience with Airflow or equivalent tools, such as Dagster or Prefect, including DAG design, dependency management, and failure handling at scale

  • Deep cloud data warehouse experience; Azure preferred, with strong AWS or GCP experience transferable

  • Experience building or enforcing medallion architecture in a production environment

  • Experience inheriting or auditing an externally managed platform, including reviewing unfamiliar codebases and independently evaluating architectural decisions

  • Experience owning engineering standards, including code review, pipeline governance, and documentation practices

  • AI-native mindset, with experience using AI-assisted tools as a productivity multiplier

Knowledge, Skills, and Experience

Education - Bachelor's Degree

Experience Required - 6+ Years

This position is on-site.

Company:

OC Sports & Entertainment, LLC

Our Commitment:

We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws. We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.

Thanks for your interest in becoming part of OCVIBE!

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