1

Union Data Scientist Jobs (NOW HIRING)

Senior Data Scientist Durham or Burlington NC location Hybrid 3 days in office, 2 days remote Day ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Senior Data Scientist Durham or Burlington NC location Hybrid 3 days in office, 2 days remote Day ... union or domestic partnership status, sexual orientation, gender identity, gender expression ...

Join the People Helping People Velera is the nation's premier payments credit union service ... The data scientist will collect, process, and analyze large data sets to uncover trends, patterns ...

Financial Data Scientist, Wealth

New York, NY ยท On-site

$180K - $200K/yr

Data Science Job Function: Investor Services Date: Friday, March 6, 2026 Position Summary 2026 ... unions and corporations. Carlyle invests across three segments - Global Private Equity, Global ...

Data Scientist - Charlotte, NC

Charlotte, NC ยท On-site +1

$65 - $73/hr

Job#: 3027458 Data Scientist Location: Charlotte, NC (Hybrid Schedule) Employment Type: Contract ... union membership, or any other characteristic protected by law. We will consider qualified ...

Senior Data Scientist

New York, NY ยท On-site

$110K - $125K/yr

Master's degree in Data Science, Statistics, or a related field. * Sound knowledge of feature ... union status, physical or mental disability, pregnancy, childbirth, genetic information, military ...

As a data scientist, model validation, you help ensure that data is appropriately valued at each ... Trade Union (If applicable) At Desjardins, we believe in equity, diversity and inclusion. We're ...

Master's degree in Data Science, Statistics, or a related field. * Sound knowledge of feature ... union status, physical or mental disability, pregnancy, childbirth, genetic information, military ...

next page

Showing results 1-20

Union Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do union data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for union data scientist 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.

What are some common challenges faced by Union Data Scientists, and how do they overcome them?

Union Data Scientists often deal with challenges such as integrating disparate data sources, ensuring privacy and security of sensitive member information, and translating technical results into insights that can inform collective bargaining strategies. Addressing these challenges requires a combination of technical expertise, attention to data ethics, and strong collaboration with both IT personnel and union leaders. Successful Union Data Scientists build robust data pipelines, stay current on data privacy regulations, and cultivate clear communication skills to present complex analyses in an accessible way. Overcoming these challenges adds significant value by enabling unions to make informed, evidence-based decisions that benefit their members.

What are the key skills and qualifications needed to thrive in the Union Data Scientist position, and why are they important?

To thrive as a Union Data Scientist, you need strong analytical abilities, proficiency in statistics and machine learning, and a relevant degree in data science, mathematics, or a similar field. Experience with tools like Python, R, SQL, and platforms such as Tableau or Power BI, along with familiarity with labor databases, is highly valuable. Excellent communication, collaboration, and problem-solving skills are important for translating complex data into actionable insights for union leadership and members. These skills are crucial for supporting data-driven decision-making, advocacy, and strategic planning within union organizations.

What is a Union Data Scientist job?

A Union Data Scientist is a professional who analyzes data to support labor unions in decision-making, negotiations, and advocacy. They work with large datasets related to wages, employment trends, labor policies, and organizing efforts. Their insights help unions strengthen bargaining positions, improve member services, and advocate for workers' rights. This role typically requires expertise in statistics, machine learning, and data visualization, as well as an understanding of labor economics and union dynamics.

More about Union Data Scientist jobs
What cities are hiring for Union Data Scientist jobs? Cities with the most Union Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Union Data Scientist jobs? States with the most job openings for Union Data Scientist jobs include:
Infographic showing various Union Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 10% Full Time, 74% Part Time, and 15% Contract. 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.

Research Data Scientist

Jack Henry and Associates

Charlotte, NC โ€ข On-site

$80K - $100K/yr

Full-time

Posted 11 days ago


Job description

Description & Requirements

Press space or enter keys to toggle section visibility

At Jack Henry, we're more than a technology company, we're a force for good in financial services. We're redefining how community banks and credit unions connect with the people they serve. Our mission is rooted in people inspired innovation, empowering financial institutions to deliver seamless, secure, and human centered experiences. We deliver cutting-edge solutions that are paving the way for the next generation of digital banking and payments, but our true impact begins with our associates. ย If you're ready to help transform an industry and grow with a company that values purpose, collaboration, and excellence then we'd love to meet you.ย 

We're hiring a Research Data Scientist who trains, tests and evaluates analytic and machine learning solutions that directly support decisions. You'll partner closely with business, data, and engineering teams to turn complex, ambiguous problems into reproducible models, experiments, and analytic decisions grounded in statistics and modern ML practices.

Our ideal candidate brings genuine depth in both statistics and machine learning. You're fluent in the full ML lifecycle - from problem framing, designing training and validation pipelines, selecting and tuning models, and evaluating them against both technical metrics and business outcomes. You reach naturally for hypothesis testing, confidence intervals, and experimental design when the situation calls for them, and you know the difference between statistical significance and practical significance. Time series and forecasting are familiar ground: you understand stationarity, seasonality, and temporal leakage, and you build forecasting pipelines that hold up in production. You pair all of this with clear, plain-language communication.

This position will work in a hybrid schedule of at least 3 days per week from either our Allen, TX or Charlotte, NC office. All positions, regardless of location, may require an onsite interview or in-person onboarding requirement to verify your identity. ย 

This position is ineligible for immigration sponsorship and support. Please do not apply if at any time you will need immigration support now or in the future (i.e., H-1B, PERM).ย 

The salary range for this position is $80,350- $100,000 and will be determined based on location and experience level.

What you'll be responsible for:ย 

  • Applies knowledge of statistics, machine learning, programming and advanced mathematics to recognize patterns, identify opportunities, and drive decisions with data.
  • Works with engineers to translate data science models into new products, services, and features. You will work across organizations and teams internal consulting specialists on analytic challenges.ย 
  • Communicates findings to both business and IT teams in plain language to influence how the organization approaches analytic challenges.ย 
  • Explores and examines data from multiple disparate sources; reviews and analyzes all incoming data with the goal of discovering previously hidden insights that can provide a competitive advantage or address a pressing business problem
  • Performs other duties as assigned

What you'll need to have:

  • Minimum of 4 years of professional data science experience, or a recently completed Master's or PhD in Data Science, Statistics, Computer Science, or a related field, which may be considered in lieu of professional experience.ย 
  • Experience with Python and SQL: Python for modeling, scripting, and tooling beyond notebooks; SQL for non-trivial queries including joins, aggregations, and window functions.
  • Experience with Statistics and inference: hypothesis testing, confidence intervals, regression, and experimental or quasi-experimental design - applied with rigor, not just familiarity.
  • Experience with ML training, evaluation, and explainability: end-to-end pipelines, cross-validation, hyperparameter tuning, calibration, evaluation beyond a single metric, and XAI techniques (e.g., SHAP, LIME) where trust or accountability matter. ย 

What would be nice for you to have:

  • Deep learning:ย Hands-on experience with PyTorch or Keras/TensorFlow - training, debugging, and evaluation beyond tutorial-level notebooks
  • Experience with Time series and forecasting: stationarity, seasonality, leakage-safe temporal validation, and evaluation appropriate to the forecasting horizon.ย 
  • MLOps:ย Familiarity with experiment tracking, model registries, and basic deployment and monitoring concepts (drift detection, rollback, latency/throughput)
  • Broader ML domain experience:ย NLP, reinforcement learning, or tabular deep learning applied to real problems beyond toy examples
  • AI agents and LLM-based systems:ย Exposure to tool-using agents, RAG, or workflow automation with a focus on measurable impact, reliability, and responsible data use
  • Cloud and large-scale data:ย Experience running training jobs or working with managed ML/compute services; comfort with messy, production-grade data at scale

If you got this far, we hope you're feeling excited about this opportunity. Even if you don't feel you meet every single requirement on this posting, we still encourage you to apply. We're looking for passionate, driven individuals who align with our mission and can bring unique perspectives to our team.

Why Jack Henry?

At Jack Henry, we live by the motto:ย "Do the right thing, do whatever it takes, and have fun." It's more than a tagline, it's the foundation of our culture. We recognize that our associates are the key to our success, and we're deeply committed to their wellbeing. That's why we offerย comprehensive benefitsย designed to support your physical, mental, and financial health so you can thrive both personally and professionally.

We're also leading the way in technology modernization, helping financial institutions evolve with speed, security, and flexibility. Our strategy focuses on delivering secure data access, mitigating fraud, and enabling seamless integration. ย Empowering our teams to build innovative solutions that meet the evolving needs of accountholders.

Culture of Commitment

Ask our associates why they love Jack Henry, and many will tell you it is because our culture is exceptional. We do great things together. Our culture empowers us to rise to challenges, seek new opportunities, and support one another through change. It's this shared commitment that drives our success. We're proud to foster an environment where inclusion, sustainability, and community impact are more than values, they're how we operate. ย Visit ourย Corporate Sustainabilityย site to learn more about our culture and commitment to our people, customers, community, environment, and shareholders.

Equal Employment Opportunity

At Jack Henry, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business - and our society - stronger. Jack Henry is an equal opportunity employer and we are committed to providing equal opportunity in all of our employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities to all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military and veteran status, or any other protected status protected by local, state or federal law.

No one will be subject to, and Jack Henry prohibits, any form of discipline, reprisal, intimidation, or retaliation for good faith reports or complaints of discrimination of any kind, pursuing any discrimination claim, or cooperating in related investigations.

Requests for full corporate job descriptions may be requested through the interview process at any time. ย