ZipRecruiter

Log In

1

Union Data Science Jobs (NOW HIRING)

Carlyle

Investment Data Scientist

New York, NY · On-site

$190K - $220K/yr

Data Science Job Function: Investor Services Date: Monday, April 27, 2026 Position Summary Join our ... unions and corporations. Carlyle invests across three segments - Global Private Equity, Global ...

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical ... union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical ... union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other ...

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical ... union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical ... union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other ...

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

Leverage advanced analytics and data science to solve complex business problems. Build analytical ... union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other ...

next page

Showing results 1-20

All JobsUnion Data Science Jobs

Union Data Science information

See salary details

$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.
Manager II, Data Science (CECL Modeling)

Manager II, Data Science (CECL Modeling)

Navy Federal Credit Union

Vienna, VA • On-site

Full-time

Posted 11 days ago

Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Description
Responsible for developing and deploying CECL predictive models, advanced analytics, and advanced statistical techniques, solutions and actionable insights that deliver business impact. Develops strategic priorities, shapes analytical approaches, ensures model quality and performance and ensures alignment with corporate initiatives and goals. Manage daily activities of professional employees. Work is performed under limited supervision.
This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.
Responsibilities
  • Manage, lead and mentor teams of data scientists and analysts in developing advanced statistical models, algorithms, and data mining techniques translating business problems into advanced modeling approaches in support business initiatives
  • Lead end-to-end CECL model development, implementation, execution, monitoring, documentation, and governance for consumer lending portfolios.
  • Drive the evolution of our data science practices by implementing best practices in model development, validation, and deployment across various business units
  • Manage and lead modeling function to ensure compliance with CECL, and collaborate with control team on on-going CECL Modeling Program and controls around the CECL reserve; ensure mathematical and conceptual soundness of all models and data integrity
  • Collaborate with Finance/Accounting and other business partners to establish model requirements and align model techniques to Generally Accepted Accounting Principles
  • Translate portfolio risk dynamics, macroeconomic conditions, model outputs, reserve drivers, and model limitations into clear executive-level insights and recommendations.
  • Communicate complex data-driven insights in a clear and concise manner to diverse audiences, fostering understanding and buy-in from stakeholders at all levels
  • Manage multiple teams and/or specialized units to include resource planning, ensuring the execution of complex modeling initiatives; partner with leaders in analytics, engineering, and business domains to integrate models into workflows
  • Analyze large complex datasets to extract actionable insights and present findings to stakeholders, using effective visualization and storytelling techniques
  • Review complex code and analyses to ensure accuracy, scalability, and ethical alignment
  • Ensure the continuous improvement of data quality and governance processes by collaborating with data engineering and IT teams
  • Ensure appropriate use of advanced statistical techniques and manage model lifecycle governance
  • Develop and manage budgets related to initiatives, ensuring effective resource utilization and alignment with organizational goals
  • Coach teams on cutting-edge data science methods and foster a culture of experimentation and curiosity
  • Research, evaluate, and integrate new data science technologies and methodologies to enhance the team's capabilities and drive innovation, while ensuring transparency, explainability, validation readiness, and compliance with CECL and model risk management expectations.

Qualifications
  • Bachelor's degree in related field or equivalent combination of training, education and experience
  • College/university degree and 7+ years work experience in credit risk modeling, loss forecasting, reserve modeling, financial services analytics, or related quantitative discipline
  • 3+ years of people leadership experience managing quantitative analysts, data scientists, or model developers.
  • Strong ability to create an environment that emphasizes data-driven decision-making across an organization, empowering teams to leverage analytical insights effectively
  • In-depth knowledge of data science tools and technologies (e.g., Python, R, SQL, SAS) to guide team workflows and methodologies
  • Strong presentation and storytelling skills to distill complex models and predictions into understandable insights for diverse audiences, including non-technical stakeholders
  • Skill in establishing clear metrics and performance indicators to monitor the effectiveness of data science projects and ensure alignment with business outcomes
  • Strong ability to manage multiple teams, ensuring alignment and cohesion in achieving objectives
  • Expertise in managing projects from conception to execution, ensuring adherence to timelines and budgets
  • Ability to analyze diverse data and identify trends to inform decision-making and strategic planning
  • Excellent communication skills, able to convey complex ideas and strategies to various audiences
  • Flexibility to adapt strategies and processes in response to evolving business conditions or challenges
  • Commitment to fostering team growth through training, feedback, and recognizing achievements

Desired Qualifications
  • Ph.D. degree in economics, statistics, mathematics, finance, or related field, or equivalent combination of training, education, and experience.
  • Advanced knowledge of CECL reserving, credit loss forecasting, and Model Risk Management guidelines.
  • Experience with consumer lending portfolios such as credit card, auto, secured consumer lending, unsecured consumer lending, mortgage, or home equity.
  • Familiarity with loan-level or account-level credit loss modeling techniques, including probability of default, loss given default, exposure at default, prepayment, survival/hazard, and competing risk models.
  • Experience implementing controlled model production processes, including version control, data validation, reconciliation, monitoring, documentation, and change management.
  • Experience responding to Model Risk Management validation, internal audit, external audit, regulatory, accounting, or control review questions.
  • Advanced knowledge of applicable federal and state laws, rules, and regulations that govern credit card, secured consumer lending, and unsecured consumer lending.
  • Advanced knowledge of banking and financial industry trends, products, services, credit cycles, portfolio performance drivers, and reserve implications.
  • Extensive progressively responsible experience leading and managing an analytics or quantitative modeling operation in a large financial institution, including operational, regulatory, model risk, and control considerations.
  • Expert research, data mining/querying, analysis, and reporting skills, including proficiency in sophisticated statistical methods, modeling, forecasting, and cost/benefit/risk analysis.
  • Extensive experience demonstrating thought leadership, sound judgment, decision-making, and creativity in solving business problems.
  • Extensive experience working with all levels of staff, management, stakeholders, vendors, control partners, and executive audiences.
  • Expert skill presenting findings, conclusions, alternatives, model limitations, and recommendations clearly and concisely to variety of stakeholders.
  • Expert skill to influence, negotiate, and persuade to reach agreeable exchange and positive outcomes

Additional Information
Hours:
  • Monday - Friday, 8:00AM - 4:30PM

Location:
  • 820 Follin Lane, Vienna, VA 22180

About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
Our approach to careers is simple yet powerful: Make our mission your passion.
  • FORTUNE 100 Best Companies to Work For® 2025
  • Yello and WayUp Top 100 Internship Programs
  • Computerworld® Best Places to Work in IT
  • Newsweek Most Loved Workplaces
  • 2025 PEOPLE® Companies That Care
  • Newsweek Most Trustworthy Companies in America
  • Military Times 2025 Best for Vets Employers
  • Best Companies for Latinos to Work for 2025
  • Forbes® 2025 America's Best Large Employers
  • Forbes® 2025 America's Best Employers for New Grads
  • Forbes® 2025 America's Best Employers for Tech Workers
  • 2025 RippleMatch Campus Forward Award Winner for Overall Excellence
  • Military.com Top Military Spouse Employers 2025
  • 2025 Handshake Early Talent Award

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site.
Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process.
Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

What Navy Federal Credit Union employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933

View All Navy Federal Credit Union Jobs

Apply