1

Data Science Manager Jobs in Indiana (NOW HIRING)

Develops reports supporting strategy and direction for management. * Developing and maintaining data science models, detection analytics, and behavioral algorithms for cybersecurity use cases.

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

... managers, and department staff members. EDUCATION AND/OR EXPERIENCE List Degree Requirement, Years' Experience, and Certifications * Must have a Bachelor's degree in Data Science, Computer Science ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

... managers, and department staff members. EDUCATION AND/OR EXPERIENCE List Degree Requirement, Years' Experience, and Certifications * Must have a Bachelor's degree in Data Science, Computer Science ...

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

D. in Computer Science, Statistics, Mathematics, or related fields. • 5+ years of experience in ... management (AWS, GCP, Azure). • Strong understanding of data architecture, data modeling, and ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Experience leading end-to-end data science project implementation highly preferred. * Experience managing a small team either through formal or informal reporting relationship preferred. * PhD and ...

Build and manage a structured test-and-learn programme across paid channels, identifying ... Brings 5+ years of experience in a data science or quantitative research role, with hands‑on ...

Data Scientist I

Indianapolis, IN · On-site

$61 - $123/hr

Efficiently interpret results and communicate findings and potential value to manager. * Support ... Core Data Science Capabilities: Deep expertise in at least one of the following skillsets preferred ...

Sr. Data Scientist

Indianapolis, IN · On-site

$110.21 - $121.23/hr

Query and manage geospatial datasets using PostgreSQL with PostGIS * Work with geospatial data ... in data science, GIS, or a related field * Strong proficiency in Python for geospatial data ...

... data science, presentation skills, attention to detail, multitasking. Role Responsibilities ... Manage analytics priorities and team performance * Create data governance framework with the entire ...

Showing results 41-60

Data Science Manager information

See Indiana salary details

$29.5K

$92.4K

$163.7K

How much do data science manager jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science manager in Indiana is $92,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

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 Manager jobs in Indiana?

For Data Science Manager jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Science Manager jobs in Indiana look for?

The top searched job categories for Data Science Manager jobs in Indiana are:

What cities in Indiana are hiring for Data Science Manager jobs?

Cities in Indiana with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Indiana as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $92,439 per year, or $44.4 per hour.

Student | Data Science Intern - Mendoza Research Team

University of Notre Dame

Notre Dame, IN • On-site

$15/hr

Full-time, Internship

This job post has expired 2 days ago. Applications are no longer accepted.


University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

338th of 630 rated colleges and universities


Job description

Company Description
The University of Notre Dame is more than a workplace! We are 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
About the Role The Mendoza Research Team provides the technical and quantitative backbone for faculty research across Accountancy, Finance, IT Analytics & Operations (ITAO), Marketing, and Management & Organization (MNO).
As a Research Data Science Intern, you will work directly alongside our team of full-time data scientists to support active, high-impact faculty research projects. This is a hands-on, highly collaborative role designed to offer direct mentorship, build your applied technical toolkit, and give you real-world experience in data pipelines and statistical modeling.
Key Responsibilities
  • Data Engineering & Preparation: Clean, merge, and validate complex research datasets, including financial/market data, administrative records, survey results, and web-scraped data.
  • Statistical Modeling: Assist in building, testing, and refining statistical and machine learning models.
  • Code Optimization & Reproducibility: Write clean, reproducible code using standard data science languages (primarily Python and R).
  • Data Visualization: Design intuitive charts, plots, and summary tables to communicate findings effectively.
  • Documentation & Version Control: Maintain clear documentation, data dictionaries, and organized code repositories using Git workflows.
  • Faculty Collaboration: Participate in team check-ins and contribute to technical discussions with faculty researchers.

What We Are Looking For:
  • Currently enrolled Higher Education student in good academic standing.
  • Proficiency in Python or R for data manipulation and analysis.
  • Familiarity with data cleaning, basic statistical methods, and visualization tools.
  • Strong attention to detail and an interest in academic or quantitative research.
  • Experience with Git/GitHub, SQL, or web scraping is a plus, but not required.

Qualifications
Required:
  • Currently enrolled undergraduate student, any major
  • Coursework in statistics, econometrics, computer science, or analytics
  • Working proficiency in Python or R
  • Comfortable with (or eager to learn) tools like SAS, SQL, and Git
  • Strong attention to detail and ability to follow data handling/confidentiality protocols
  • Available for 15-20 hours/week

Preferred:
  • Coursework in machine learning, causal inference, or experimental design
  • Experience with large or messy real-world datasets
  • Prior research assistant experience

How to Apply:
Please submit:
  1. A current resume/CV
  2. A brief cover note (a few sentences on why you're interested and any relevant coursework or projects)
  3. An unofficial transcript
  4. (Optional) A code sample or class project you're proud of

Additional Information
  • Compensation: Starting at $15/hour
  • Location: On-campus
  • Hours: 15-20 hours/week during the academic term. We will work to structure your schedule around your academic requirements.
  • Duration: Starting Fall 2026

This position is accepting applications until September 2, 2026.
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.

What University Of Notre Dame employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom