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Data Science Degree Jobs in Indiana (NOW HIRING)

Relativity

Senior Applied Scientist

Indianapolis, IN · On-site +1

Ability to communicate complex data science concepts thoughtfully and inclusively to a wide range of stakeholders Preferred * Master's degree in Computer Science or a quantitative field plus 2 years ...

SynergisticIT

Entry Level Data Engineer

Indianapolis, IN · On-site

$109.40K - $131.40K/yr

Data Analysts, Data Scientists * Data Engineers & AI/Machine Learning Engineers Preferred Skills For Java/Full Stack/DevOps Roles: * Bachelor's or Master's degree in CS, CE, EE, IT, or related

Serco

Manager Data Analytics

Indianapolis, IN · On-site

Bachelor's degree in computer science, engineering, information systems, operations research, data science, or a related technical discipline * Additional 10 years of experience may be substituted ...

NiSource

Manager Data and Analytics

Merrillville, IN · On-site

$133.40K - $200.10K/yr

Bachelor's degree or equivalent work experience * 4+ years of experience in fields related to data engineering, business intelligence (visualization/dashboard/reporting), data science, data analysis ...

SynergisticIT

Data Analyst

Gary, IN · On-site

Data Analyst SYNERGISTICIT is aware that the job market is challenging because of tech layoffs. The ... Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical ...

NiSource

Manager Data and Analytics

Merrillville, IN · On-site

$133.40K - $200.10K/yr

Bachelor's degree or equivalent work experience * 4+ years of experience in fields related to data engineering, business intelligence (visualization/dashboard/reporting), data science, data analysis ...

Do it Best Corp

Enterprise Data Manager

Fort Wayne, IN · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Information Technology, or a related field. * Minimum of 8 years of experience in data analytics or a similar field, with at least 3 ...

Powers Health

Associate Data Analyst

Munster, IN · Remote

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Technology, Economics, Health Informatics or a related field. * 0-2 years of experience in data analysis ...

Powers Health

Associate Data Analyst

Munster, IN · Remote

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Technology, Economics, Health Informatics or a related field. * 0-2 years of experience in data analysis ...

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All JobsData Science Degree JobsData Science Degree Jobs in Indiana

Data Science Degree information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do data science degree jobs pay per year?

As of May 28, 2026, the average yearly pay for data science degree in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a Data Science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is a Data Science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

Is data science dead in 10 years?

Data science is a growing field that is expected to remain relevant over the next decade, as organizations continue to rely on data analysis, machine learning, and statistical skills. Advances in automation and AI may change some roles, but the need for skilled data scientists to interpret complex data and develop models will persist. Continuous learning and proficiency with tools like Python, R, and SQL are essential for long-term career success in this field.

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

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What are popular job titles related to Data Science Degree jobs in Indiana? For Data Science Degree jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Science Degree jobs in Indiana look for? The top searched job categories for Data Science Degree jobs in Indiana are:
What cities in Indiana are hiring for Data Science Degree jobs? Cities in Indiana with the most Data Science Degree job openings:
Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Indiana as of May 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 67% Physical, 6% Hybrid, and 27% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.
Sr Data Scientist

Sr Data Scientist

The Hertz Corporation

Indianapolis, IN • On-site

$105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Hertz rating

6.4

Company rating: 6.4 out of 10

Based on 190 frontline employees who took The Breakroom Quiz

113th of 139 rated vehicle equipment hire

Job description

A day in the life:

At Hertz, our senior data scientists are responsible developing and defining best practices for analytical methods to generate informative research, reports, visualizations, and dashboards using internal and external data to provide actionable and strategic insights.

You will work closely with data engineers, analysts, software developers and product managers within the business to deliver new and exciting products and services. Your main objective is to leverage advanced analytics and machine learning techniques to deeply understand our product performance and generate insights to drive operational efficiency and effectiveness by enabling proactive data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change.

The role of the incumbent is to work on impactful strategic initiatives and use state of the art technologies to solve complex problems to enable and optimize our digital, connected fleet, pricing, and ridesharing products.

The starting salary for this role is $105K; commensurate with experience.

What You'll Do:

  • Dissect and solve complex business problems by applying analytical and machine learning techniques to uncover patterns and correlations in large, complex datasets

  • Own end-to-end ML model development: problem framing, data architecture scoping, feature engineering, model design, experimentation, evaluation, deployment, monitoring

  • Analyze and define success and performance metrics for current and new business initiatives, with a specific focus on A/B tests

  • Design and maintain robust ETL processes to ensure data integrity and accessibility

  • Build and maintain descriptive, predictive, and prescriptive models to measure the performance of the new products and services

  • Define and implement best practices to generate accurate analytics, reports, visualizations, and dashboards to explain results simply and succinctly to technical, non-technical, and senior management

  • Integrate and curate data from a wide range of internal and external sources to develop detailed reports and datasets for predictive modelling

  • Liaise with stakeholders within the company to understand their needs and concerns and develop concise analytics to provide actionable insights to influence strategy and performance

  • Guide business leaders with confidence in your analytics and reporting to ensure smooth execution

  • Oversee the upkeep and optimization of current ETL pipelines and dashboards

What We're Looking For:

  • Minimum of 5 years hands-on experience in a data science or data analytics role

  • Minimum 2 years of intensive experience with cloud-based Big Data, ML and Analytics technologies, preferably Databricks

  • Experience with event-driven architectures and implementing analytics on streaming data using technologies such as BigQuery is a plus

  • Experience with Data Visualization tools such as Tableau

  • Strong capabilities in SQL and experience working with structured and semi-structured data.

  • Strong interpersonal and communication skills

  • Strong capabilities in scripting languages such as Python

  • Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions

  • Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical information and concepts to multiple organization levels.

  • A bachelor's degree or higher in Computer Science, or other quantitative disciplines such as statistics, mathematics, physics or engineering.

What You'll Get:

  • Up to 40% off the base rate of any standard Hertz Rental

  • Paid Time Off

  • Medical, Dental & Vision plan options

  • Retirement programs, including 401(k) employer matching

  • Paid Parental Leave & Adoption Assistance

  • Employee Assistance Program for employees & family

  • Educational Reimbursement & Discounts

  • Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness

  • Perks & Discounts -Theme Park Tickets, Gym Discounts & more

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.

US EEO STATEMENT

At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company.

Individuals are encouraged to apply for positions because of the characteristics that make them unique.

EOE, including disability/veteran

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