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Union Data Science Jobs in Florida (NOW HIRING)

Data Engineer

Pensacola, FL · On-site

$108K - $130K/yr

Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field * 5+ ...

New

Data Engineer

Pensacola, FL · On-site

$108K - $130K/yr

Overview Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field * 5+ ...

Showing results 21-40

Union Data Science information

See Florida salary details

$34.4K

$123.3K

$182K

How much do union data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for union data science in Florida is $123,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $127,000.00 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 Florida? The most popular types of Data Science jobs in Florida are:
What cities in Florida are hiring for Union Data Science jobs? Cities in Florida with the most Union Data Science job openings:

Data Product Manager

Kforce Technology Staffing

Juno Beach, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Job description

RESPONSIBILITIES:
Kforce has a client in Juno Beach, FL that is seeking a Data Product Manager.
Key Responsibilities:
* Define data product strategy and vision aligned with NEE and Data Office goals
* Develop a product roadmap that evolves with changing user needs, including phased 0-1 to scaled delivery planning
* Identify Enterprise Data opportunities and user needs through research, analysis, and emerging technology assessment
* Lead 0-to-1 product ideation cycles, transforming undefined problem spaces into structured product concepts with clear business cases
* Conduct design sessions with business unit stakeholders to ideate and yield draft product requirements
* Conduct user interviews and surveys to gather insights and validate product concepts
* Develop mockups, wireframes, and low-fidelity prototypes to rapidly test and validate hypotheses prior to full development
* Conduct usability testing on prototypes and iterate based on stakeholder and end-user feedback
* Engage in competitive analysis to identify differentiation opportunities
* Utilize data-driven techniques to uncover emerging trends and inform discovery
* Architect and deliver functional 0-1 prototypes, including AI-enabled capabilities, to demonstrate product value and de-risk full-scale investment
* Lead the design and development of AI agents within prototype environments, defining agent objectives, tool integrations, orchestration logic, and evaluation criteria
* Collaborate with data scientists and engineers to incorporate generative AI, ML models, or LLM-based components into prototypes as needed to meet product goals
* Establish prototype success criteria and manage the transition from prototype to production-ready product
* Partner with engineering, solution architects, and business unit stakeholders to translate discovery insights and validated prototypes into product features
* Oversee the use of data migration development tools (e.g., Databricks, AWS Glue, DMS)
REQUIREMENTS:
* Bachelor's degree in Computer Science, Engineering, Data Science, or related analytical field; Master's degree in an analytical field preferred
* Experience in product management with a focus on data products, discovery, and 0-to-1 product delivery
* Strong technical background with an understanding of data technologies, AI/ML tooling, and data migration frameworks
* Excellent communication skills and ability to work cross-functionally
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.