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Union Data Science Jobs in Indiana (NOW HIRING)

... union, Client, visa, walmart lab etc to name a few. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists ...

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

... Computer Science, Information Systems, Finance, Business, or related field. (Will consider ... credit union KPIs. - Effective project management skills with a focus on delivering high-impact ...

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

... Computer Science, Information Systems, Finance, Business, or related field. (Will consider ... credit union KPIs. - Effective project management skills with a focus on delivering high-impact ...

Own and execute the business insights across the life sciences portfolio, focused on helping ... Additionally, benefits may vary depending on the region, business alignment, union involvement, and ...

Own and execute the business insights across the life sciences portfolio, focused on helping ... Additionally, benefits may vary depending on the region, business alignment, union involvement, and ...

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Union Data Science information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do union data science jobs pay per year?

As of Jun 27, 2026, the average yearly pay for union data science in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 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 Indiana? The most popular types of Data Science jobs in Indiana are:
What cities in Indiana are hiring for Union Data Science jobs? Cities in Indiana with the most Union Data Science job openings:
Python/R Programmer

Python/R Programmer

SynergisticIT

Indianapolis, IN • On-site

Other

Posted yesterday


Job description

SynergisticIT Job Opportunities

Since 2010, SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients.

Post Covid the tech layoffs have been massive—In 2022 there were 165,269 tech layoffs, in 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. Total layoffs as per this 555,871 tech layoffs. Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August. The job market is hyper competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level job positions. Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get interviews and eventually a job offer. Survival of the fittest is the only way to get a tech job in this job market. In this layoffs fueled market also SynergisticIT's candidates are able to achieve multiple job offers and $100k+ salaries once they acquire the required skills.

We regularly interact with the top tech companies to give our candidates a competitive advantage. Please visit the below videos exhibiting at Oracle Cloud world/Oracle Java one (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab etc to name a few. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We want data science/machine learning/data analyst and Java full stack candidates REQUIRED SKILLS For Java/Full stack/Devops positions Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT Knowledge of core Java, javascript, C++ or software programming Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.

For data science/data analyst/AI/machine learning positions REQUIRED SKILLS Associate or Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude Knowledge of statistics, Gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.