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Data Science Associate Jobs in Indiana (NOW HIRING)

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Associate Data Scientist FLSA Status: Exempt Job Family: Research & Development Department ... Must have a Bachelor's degree in Data Science, Computer Science, Statistics, or related discipline.

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

Associate Data Scientist FLSA Status: Exempt Job Family: Research & Development Department ... Must have a Bachelor's degree in Data Science, Computer Science, Statistics, or related discipline.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

This role requires associates to be in-office 1 day per week, fostering collaboration and ... RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

This role requires associates to be in-office 1 day per week, fostering collaboration and ... RDA > Data Science Please be advised that Elevance Health only accepts resumes for compensation ...

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Data Science Associate information

See Indiana salary details

$54.7K

$64.7K

$122.8K

How much do data science associate jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data science associate in Indiana is $64,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $56,600.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

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 are popular job titles related to Data Science Associate jobs in Indiana? For Data Science Associate jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Indiana look for? The top searched job categories for Data Science Associate jobs in Indiana are:
Infographic showing various Data Science Associate job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,743 per year, or $31.1 per hour.
Data Science Associate

Data Science Associate

University of Notre Dame

Notre Dame, IN • On-site

$57K - $58K/yr

Full-time

Posted 15 days ago


University Of Notre Dame rating

7.2

Company rating: 7.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

338th of 546 rated colleges and universities


Job description

Company Description

The University of Notre Dame is more than a workplace; it is a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person-mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University's mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

Notre Dame Athletics develops and challenges each student-athlete to pursue excellence and serve as a force for good in the world. Our vision is to lead collegiate athletics by defining the integrated student-athlete experience and forming champions. To do this, we are eager to attract, recruit, develop and retain individuals who positively contribute to a collaborative, connected culture where all may thrive.

As a prospective member of Notre Dame Athletics, we invite you to apply if you have a shared purpose for our distinctly integrated student-athlete experience, an unrivaled passion for people who propel a dynamic and high performing organization, and a proven record of success in your field.

The Data Science Associate will work at the intersection of data engineering and analytics, contributing to data processing, cleaning, and analysis in an agile manner across all domains of revenue efforts, with an emphasis on revenue generation, ticketing, marketing, content and partnerships. This role will leverage data engineering and analytical expertise to ensure data-driven decision-making across the Notre Dame Athletics revenue and business areas. Responsibilities include diagnosing system issues, refining code, and conducting functional testing to resolve application production challenges.

The Associate will collaborate closely with the Senior Associate AD for Revenue, Partnerships & Marketing and their team, the Back-End Database Engineer, Data Analytics Associate, and other functional area leaders to ensure seamless integration and functionality of data-driven revenue generation and business intelligence solutions.

Responsibilities & Duties.

  • Collaborate with the Back-End Database Engineer to seamlessly integrate data-driven solutions into existing and new systems, while partnering with revenue, ticketing, marketing, content and partnership staffs to ensure analytics tools align with and adapt to the evolving needs of Notre Dame Athletics.
  • Design, build, and maintain reliable data pipelines that support revenue, ticketing, marketing, content and partnership analytics. 
  • Aligned with departmental best practices, implement and maintain data quality checks, logging, and monitoring to ensure accuracy and reliability of revenue-related datasets. 
  • Issue optimized queries for use in stakeholder-facing tools like dashboards and other reporting mediums. Develop insights and build tools to address current and new revenue generating opportunities, enhance data accessibility, and support the revenue and external affairs teams. 
  • Apply analytical expertise and programming skills to interpret and visualize data across all departmental needs of revenue-focused efforts (e.g., ticketing, partnerships, marketing, digital, fan experience, etc.). 
  • Partner with functional leaders to shape metrics, definitions, and data models that drive actionable decision- making. 
  • Facilitate internal research projects that contribute to novel and innovative revenue growth. 
  • Other duties as assigned
Qualifications
  • Education Qualifications: Bachelor's degree (4 years)
  • At least 3 years of professional experience
  • Degree Qualifications: Bachelor's degree in a data science related field; graduate-level training preferred.
  • Skill Qualifications:
    • Highly proficient with multiple data systems and experience in a variety of programming languages (Java, SQL, Python).
    • Proven experience with data in various forms (such as relational SQL, NoSQL, JSON, unstructured data environments).
    • Knowledge and skills required to formulate and pursue impactful questions regarding revenue generation, ticketing, marketing, CPM, CRM and partnerships.
    • Strong organizational skills, intellectual curiosity, stress tolerance, ability to handle uncertainty, and persistent desire to start and complete projects.
    • Exceptional verbal and written communication skills with the ability to dynamically adapt messaging to a diverse group of stakeholders.
    • Broad understanding of / and interest in sports business; Nights and weekends required at times.
Additional Information
  • Deadline to Apply (subject to change): Sunday, July 12th
  • Salary: up to 85K, commensurate with experience

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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