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Entry Level Data Science Jobs in Indiana (NOW HIRING)

SynergisticIT

Python Programmer (Remote)

Fishers, IN · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Alliance Group Technologies

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Process Control Engineer (entry level)

East Chicago, IN · On-site

$30 - $35/hr

... a team environment. - Data Analysis- MS Office, PLC programming - Basic Troubleshooting ... Science, or Equivalent Work Experience will be considered. • Capable of analyzing short- and ...

Tradebe

Environmental Field Chemist

Griffith, IN · On-site

$19.75 - $26.50/hr

Opportunity for entry-level and experienced candidates * 50-70% travel, up to 12 overnights a month ... Input data and research materials using company software * Operate a 26-foot box truck once CDL ...

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Entry Level Data Science information

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$10

$18

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How much do entry level data science jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for entry level data science in Indiana is $18.13, according to ZipRecruiter salary data. Most workers in this role earn between $15.34 and $20.34 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level 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 are popular job titles related to Entry Level Data Science jobs in Indiana? For Entry Level Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Indiana look for? The top searched job categories for Entry Level Data Science jobs in Indiana are:
What cities in Indiana are hiring for Entry Level Data Science jobs? Cities in Indiana with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, and 9% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $37,710 per year, or $18.1 per hour.

Assistant Professor in Quantitative Political Science

University of Notre Dame

Notre Dame, IN • On-site

Full-time

Posted 17 days ago

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

336th of 612 rated colleges and universities

Job description

Description
The Department of Political Science at the University of Notre Dame invites applications for a tenure-track appointment at the rank of Assistant Professor in Quantitative Political Science, beginning fall 2027. We seek a scholar with substantive expertise in American Politics, Comparative Politics, Political Economy, International Relations, or the intersection of these fields, who applies frontier methods of statistics and data science to substantive questions in their area of expertise. Strong candidates will have a research agenda that demonstrates innovative uses of quantitative methods - such as machine learning and AI, text-as-data, network analysis, causal inference, or large-scale data collection - to generate substantively important insights into core questions in political science, as opposed to a focus exclusively on methodological contributions. We are particularly interested in candidates whose teaching could complement or contribute to the graduate methods sequence in political science. Duties include teaching, research, and service.
This position is part of the University's Data, AI, and Computing (DAC) Initiative, a University-wide effort that "balances ground-breaking foundational advances in data, AI, and computing with transformative interdisciplinary applications targeting societal challenges," and the successful candidate will hold an affiliation with the Initiative. Teaching obligations will include undergraduate offerings in the Data Science minor and supplemental major in the College of Arts & Letters.
Qualifications
Candidates at the entry level must have completed all requirements for a Ph.D. degree or have completed all but dissertation in political science or a related field with degree expected by July 1, 2027. Candidates at the advanced assistant professor level must have a Ph.D. in political science or a related field.
Applications received by September 15, 2026 will receive full consideration.
Application Instructions
Those attracted to a university with a Catholic identity are particularly encouraged to apply. Information about Notre Dame, including our mission statement, is available at www.nd.edu.
All applicants should include a CV, a letter of interest, a research statement, a teaching statement, one writing sample, teaching evaluations, and three letters of recommendation. Questions may be directed to Professor Richard Clark, chair of the search committee, at richard.clark@nd.edu.

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