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Union Data Scientist Jobs (NOW HIRING)

Carlyle

Investment Data Scientist

New York, NY · On-site +1

$190K - $220K/yr

Position Summary Join our dynamic Investment Data Science Team as a Data Scientist and immerse ... unions and corporations. Carlyle invests across three segments - Global Private Equity, Global ...

Q2 India

Senior Data Scientist

Cary, NC · On-site

$140 - $200/hr

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

Q2

Senior Data Scientist

Cary, NC · Hybrid

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

Q2 Software, Inc.

Senior Data Scientist

Cary, NC · On-site

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions ... As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ...

Wpromote

Junior Data Scientist

$88K - $100K/yr

The Role Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has ... Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions ...

Wpromote

Junior Data Scientist

$88K - $100K/yr

The Role Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has ... Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions ...

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How much do union data scientist jobs pay per year?

As of Aug 21, 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 is a union data scientist?

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.

What are the key skills and qualifications needed to thrive as a union data scientist?

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 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.

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Union Data Scientist jobs near you
Infographic showing various Union Data Scientist job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Investment Data Scientist

Carlyle

New York, NY • On-site, Remote

$190K - $220K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Position Summary
Join our dynamic Investment Data Science Team as a Data Scientist and immerse yourself in the heart of the investment process. This unique role fuses technical data science expertise with sharp commercial insight, placing you at the crossroads of investment decision-making and value creation. Collaborate closely with our investment teams and company leaders, leveraging your skills to make a tangible impact in due diligence and growth strategies.
Responsibilities
  • Dive deep into data analytics for thorough investment due diligence, balancing swift execution with meticulous analysis to assess potential risks and opportunities.
  • Partner strategically with portfolio company executives, driving data-led initiatives for growth and efficiency from concept to completion.
  • Lead in developing and implementing data-centric strategies and tools, enhancing our investment processes and supporting our deal teams.
  • Provide critical support in live due diligence, translating complex data into comprehensive analysis under tight deadlines.
  • Develop insightful tools and data products to refine our investment process.
  • Oversee value creation projects in portfolio companies, from strategy to execution.
  • Engage in sophisticated data analysis, including feature engineering and analytics.
  • Cleanse, integrate, and interrogate diverse datasets to unearth unique insights.
  • Conduct rigorous hypothesis testing, statistical analysis, and modeling.

What you'll do:
  • Navigate and analyze complex datasets, extracting key insights to guide investment strategies.
  • Collaborate with internal teams and external executives on data-driven growth initiatives.
  • Manage third-party resources, integrating external expertise into our internal framework.
  • Spearhead the creation of innovative data tools and products to scale our deal support capabilities.

Requirements:
Education & Certificates
  • A bachelor's degree, required
  • Concentration in Computer Science, Math, Physics or other engineering/STEM related field, preferred

Professional Experience
  • At least 8 years of overall relevant technical experience in Data Science, required
  • Previous experience with hedge funds, preferred
  • Experience in the financial services or private equity industry, preferred

Competencies & Attributes
  • Exceptional problem-solving abilities.
  • Aptitude for translating data into actionable business strategies.
  • Strong verbal and written communication skills, with a flair for public presentation and storytelling.
  • Solid understanding of investment, financial valuation, and commercial growth principles.
  • Advanced Python and SQL skills for complex data analysis.
  • Proficient in machine learning techniques and handling large datasets.
  • Skilled in data visualization and statistical modeling.
  • Familiarity with AWS cloud computing and Git version control systems.

Benefits/Compensation
The compensation range for this role is specific to New York and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $190,000 to $220,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.
About Us:
The Carlyle Group (NASDAQ: CG) is a global investment firm with $475 billion of assets under management, across 678 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.
Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has deep expertise across industries, markets, and geographies.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.

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