1

Union Data Science Jobs in Virginia (NOW HIRING)

Bachelor's degree in Data Science, Statistics, Mathematics or Computer Science is required; A ... union status, gender identity, medical condition, genetic information, sexual orientation, or any ...

Bachelor's degree in Data Science, Statistics, Mathematics or Computer Science is required; A ... union status, gender identity, medical condition, genetic information, sexual orientation, or any ...

Data Scientist Sr

Reston, VA · On-site

$97K - $164K/yr

Bachelor's degree in an area related to the labor category (i.e., Data Science/Engineering, IT, ... Some benefits may be different for union employees that are governed by a collective bargaining ...

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be ... Provide inputs for data science and business intelligence projects and perform analytical on large ...

New

KBR's areas of expertise include engineering, logistics, operations, science, program management ... union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

next page

Showing results 1-20

Union Data Science information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do union data science jobs pay per year?

As of Jun 14, 2026, the average yearly pay for union data science in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 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.
What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What cities in Virginia are hiring for Union Data Science jobs? Cities in Virginia with the most Union Data Science job openings:

Data Scientist - Multi-level - TS clearance in order to apply

Bow Wave LLC

Centreville, VA • On-site

$150K - $185K/yr

Full-time

Posted 7 days ago


Job description

Senior Program Management Specialist (Data Analyst)- (TOP SECRET Level):
• This position is tasked with compiling data from multiple sources within the Drug Enforcement Agency's Special Operations Division.
• This position requires experience in the logistics supply chain (maritime, land, air) and familiarity with the corresponding data sets.
• The Analyst should have the ability to collect, standardize large disparate sets of data, and identify relevant fields that correspond with DEA investigative data.
• Additionally, the analyst must have experience in geospatially demonstrating results through creating maps with points, keys, and legends that demonstrate criminal phenomenon from field agents, analysts, and HQ.
• Furthermore, the analyst must have experience with DEA data sources and developed methods to find, harvest, combine, and move target rich data into analytical tools such as Microsoft's Power Query and IBM's Analyst's Notebook.
• The individual must have experience in non-DEA data sources such as FinCEN, Southwest Border TRAC, Western Union data, CLEAR, and Department of Transportation (DOT) records.
• In order to perform assigned duties, this individual will have access to classified computer networks, such as Merlin to retrieve/review information and will be required to attend classified briefings given by DEA and other Federal Agencies.
• Due to the nature of this work, it is not feasible to minimize the access to only a Non-Disclosure Agreement. Based on the operational needs and job requirements, this position needs to have a TOP SECRET clearance level.
Qualifications
• 5+ (Mid) and 10+ (Sr / SME) years of experience in data analysis; law enforcement analysis of transportation and finances in relation to drug trafficking data desired.
• 3+ years of experience participating in projects/investigations.
• A Bachelor's Degree. A graduate degree or applicable work experience in data science is desirable.