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Union Data Science Jobs (NOW HIRING)

Mindlance

Scientist 2, Data Science

San Diego, CA · On-site

Required : • 7-10+ years of experience in data science, advanced analytics, or related field • ... Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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Innovizant LLC

Data Scientist

Madison, WI · On-site

... data science, data engineering and decision science to provide winning actionable insights ... credit union business in achieve their business goals. Innovizant made up of exceptional data ...

Innovizant LLC

Data Scientist

Madison, WI

... data science, data engineering and decision science to provide winning actionable insights ... credit union business in achieve their business goals. Innovizant made up of exceptional data ...

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Union Data Science information

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$46K

$165K

$243.5K

How much do union data science jobs pay per year?

As of Jun 20, 2026, the average yearly pay for union data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Why does union mean?

In the context of a Union Data Science role, 'union' refers to combining two or more datasets or dataframes into one, often using programming tools like Python or R. This operation is essential for data integration and analysis, enabling data scientists to work with comprehensive datasets for modeling and insights.

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.

Should I join a union at work?

For a data scientist or similar role, joining a union can provide collective bargaining power for wages, benefits, and working conditions. However, union membership is voluntary and may involve dues; it is important to consider the union's influence on workplace flexibility and individual career goals.

What do you mean by union?

In the context of a Union Data Science role, a union refers to a programming operation that combines data from two or more datasets, returning a set of unique records present in any of the datasets. It is commonly used in data manipulation and analysis, often with tools like SQL or Python libraries such as pandas. Understanding unions helps data scientists efficiently merge and analyze diverse data sources.

What does it mean to be union?

Being unionized as a data scientist or in a related role means you are part of a labor union that advocates for workers' rights, fair wages, and better working conditions. Union membership can involve collective bargaining, negotiations, and participation in union activities to influence employment terms.

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.
More about Union Data Science jobs
What cities are hiring for Union Data Science jobs? Cities with the most Union Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Union Data Science jobs? States with the most job openings for Union Data Science jobs include:
What job categories do people searching Union Data Science jobs look for? The top searched job categories for Union Data Science jobs are:
Union Data Science jobs near you
Infographic showing various Union Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, 22% Part Time, 7% Contract, and 1% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Marketing Data Systems & Analytics Specialist

Marketing Data Systems & Analytics Specialist

One Nevada Credit Union

Las Vegas, NV • On-site

Part-time

Posted 29 days ago

Job description

One Nevada Credit Union has an excellent career opportunity on our Marketing Team:
The Marketing Data Systems & Analytics Specialist connects One Nevada Credit Union's data infrastructure with marketing intelligence needs. This role blends data systems administration and advanced analytics to deliver actionable insights that drive campaign performance, member growth, and ROI. The specialist manages marketing technology platforms, maintains integrations with core and digital banking systems, and ensures reliable, compliant marketing data.
Key Responsibilities
  • Build and maintain marketing dashboards tracking campaign performance, ROI, conversions, and cost metrics across all channels.
  • Conduct post-campaign analysis and provide insights to optimize marketing strategies.
  • Support A/B testing, attribution analysis, and performance reporting for leadership and the board.
  • Develop member and non-member segmentation and propensity models to improve targeting and cross-sell.
  • Manage CRM, e-mail marketing, and marketing automation platforms.
  • Maintain data integrations across Jack Henry Symitar, Q2, and related systems.
  • Ensure data quality, governance, and compliance with privacy regulations.
  • Generate targeted campaign lists and support campaign fulfillment.
  • Leverage AI tools to enhance analytics, reporting, and insight generation.
Qualifications
  • Bachelor's degree in Marketing Analytics, Data Science, Business Intelligence, Information Systems, or related field.
  • 3-5 years of data analytics experience, with at least 2 years in marketing analytics.
  • Strong SQL skills and experience with data visualization tools (Tableau, Power BI, or similar).
  • Experience with CRM and marketing automation platforms.
  • Financial services or credit union experience strongly preferred.
  • Strong analytical, communication, and organizational skills.
  • Knowledge of data privacy and governance best practices.

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