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Entry Level Data Science Jobs in Columbus, IN (NOW HIRING)

... Entry Level Subfunction : N/A Degree level : Bachelor Educational Program : Computer Science Start ... Ensure data governance, security, and compliance requirements are considered in AI-related ...

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Entry Level Data Science information

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$9

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

As of Aug 19, 2026, the average hourly pay for entry level data science in Columbus, IN is $17.72, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.90 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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.

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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science 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, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Columbus, IN?

The most popular types of Data Science jobs in Columbus, IN are:

What are popular job titles related to Entry Level Data Science jobs in Columbus, IN?

For Entry Level Data Science jobs in Columbus, IN, the most frequently searched job titles are:

What cities near Columbus, IN are hiring for Entry Level Data Science jobs?

Cities near Columbus, IN with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Columbus, IN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $36,858 per year, or $17.7 per hour.

IT Applications Analyst

Cummins Inc.

Columbus, IN • On-site

Full-time

Posted 9 days ago


Cummins rating

8.0

Company rating: 8.0 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

136th of 540 rated manufacturers


Job description

Job Summary:

Provides comprehensive application functionality, configuration and support expertise for application software solutions; works with business analysts, architects, technical experts and software vendors on the solution requirements, design, configuration, functionality gap resolution, implementation, support, maintenance and enhancement of the applications.

Key Responsibilities:

Assists in the analysis and evaluation of application functionality. Documents recommendations to increase utilization of standard application functionality to improve business processes and capabilities. Contributes to the determination and documentation of optimum application setup and configuration to meet functional requirements and specifications. Configures and verifies application setup and configuration. Develops expertise in emerging application and solution trends and functionality. Provides functional recommendations for assigned applications and systems. Contributes to the analysis of potential application solutions, Able to document recommended solutions to address functionality gaps in the application. Works with vendors to improve application functionality and resolve functionality issues. Documents and reviews functional, architecture and technical requirements and designs for process owners, business analysts, and architects. Contributes knowledge and serves as a contact resource for content, processes, procedures and functionality associated with assigned applications for projects and application support (as needed). Documents functional specifications for a given project from which programs and configurations will be applied to create the program, application, or complete solution.Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

College Job type: Full Time Entry Level

Subfunction: N/A 

Degree level: Bachelor

Educational Program: Computer Science

Start date: Fall 2026

Job Skill Requirements

Core Responsibilities: 

Assist in preparing and refining datasets for AI model development, including data cleansing, validation, and basic analysis.

Work with development teams to test AI models and validate outputs against business expectations.

  • Participate in user acceptance testing (UAT) for AI-driven procurement tools and ensure alignment with business requirements.
  • Participate in vendor evaluations for AI tools and platforms, including basic research and comparative analysis.
  • Ensure data governance, security, and compliance requirements are considered in AI-related initiatives.
  • Prepare presentations and summaries for stakeholders on AI initiatives, progress, and outcomes. 

Competencies: 
Business insight - Applying knowledge of business and the marketplace to advance the organization's goals.
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
Customer focus - Building strong customer relationships and delivering customer-centric solutions.
Interpersonal savvy - Relating openly and comfortably with diverse groups of people.
Plans and aligns - Planning and prioritizing work to meet commitments aligned with organizational goals.
Tech savvy - Anticipating and adopting innovations in business-building digital and technology applications.
Solution Configuration - Configures, creates and tests a solution for commercial off-the-shelf (COTS) applications using industry standards and tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements.
Solution Design - Creates and defines the solution design complete with instrumentation and measurement, using industry standards and tools, version control, and build and test automation to synthesize diagrams, models and documentation in order to build a solution that meets buildability, business, technical, security, governance and compliance requirements.
Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements.
Solution Modeling - Creates, designs and formulates models, diagrams and documentation using industry standards, tools, version control, and build and test automation to meet business, technical, security, governance and compliance requirements.
Solution Validation Testing - Validates a configuration item change or solution using the Function's defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements.
Values differences - Recognizing the value that different perspectives and cultures bring to an organization. 
Education, Licenses, Certifications: 
College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. 
Experience: 
Minimal relevant work experience required. 1-2 years of experience

U.S. Early Careers Eligibility Requirements:

Exempt Entry Level: Designed for external candidates within 2 years of completing their highest level of degree (Bachelor, Master, PhD, MBA, or JD) from an accredited U.S. college/university, and currently reside within the continental U.S.

International Student Eligibility (U.S. based roles): F-1 visa students must have approved Curricular Practical Training (CPT) or Occupational Practical Training (OPT) before their Early Career assignment begin. CPT/OPT must relate to their degree and be authorized by their university. Students are responsible for securing this approval through their school's international office.


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About Cummins

Sourced by ZipRecruiter

Cummins Inc., headquartered in Columbus, IN, US, is a global power leader that designs, manufactures, and distributes numerous power products and systems. With its genesis from as early as 1919, the company readily serves diverse industries such as transportation, industrial, generator drive, or marine applications, among others. At the heart of Cummins' operations, its key product lineup encompasses diesel & natural gas engines, generator sets, engine components, and filtration, emission solutions, and electrical power generation systems. Cummins deeply embodies core values of integrity, respect for diversity, teamwork, performance excellence, and social responsibility - all of which dynamically fuel their mission 'Making people's lives better by powering a more prosperous world'.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Columbus, IN, US

Year founded

1919