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Entry Level Data Science Jobs in Bloomington, IN

This entry level/early career professional, applied science position conducts numerical ... Hands-on experience with tools such as Creo, ANSYS, and experimental data post-processing using ...

This entry level/early career professional, applied science position conducts numerical ... Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics ...

This entry level/early career professional, applied science position utilizes the core competencies ... Able to use applications like MATLAB to process and evaluate data. * Degree Level: Bachelors or ...

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Entry Level Data Science information

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

As of Sep 9, 2026, the average hourly pay for entry level data science in Bloomington, IN is $17.62, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.81 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 Bloomington, IN?

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

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

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

What job categories do people searching Entry Level Data Science jobs in Bloomington, IN look for?

The top searched job categories for Entry Level Data Science jobs in Bloomington, IN are:

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

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

Infographic showing various Entry Level Data Science job openings in Bloomington, IN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $36,657 per year, or $17.6 per hour.

Applied Mechanics Sr. Engineer

Columbus, IN • On-site

Cummins
Transportation Equipment Manufacturing • 10K+ employees

Full-time

Posted 13 days ago


Cummins rating

8.2

Company rating: 8.2 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

88th of 547 rated manufacturers


Job description

Job Summary:

This entry level/early career professional, applied science position conducts numerical computations via third party and in-house tools to determine structural performance of components and systems. The results from the computer models are used to determine the validity of the design to meet the customer requirements. Design recommendations are then provided as needed.

Key Responsibilities:

Investigates product and system problems, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results with guidance from more experienced team members Main focus is on the execution and improvement of established processes primarily documented in detailed local and global work instructions (EPs) that are required in Engineering Standard Work (ESW) and/or Design Validation Plans (DVP&R). This is accomplished through standard, as well as development of specialized computational tools and methods that are required to support the Design and Validation processes and enable high confidence decision making. Obtains input from Design, Thermal Sciences, Materials and Product Validation and delivers computer models and results for key structural performance parameters like motion, load, natural frequencies, stress, design margin, life, sound power to Design and Product Validation. Uses formal training like Statics, Dynamics, Machine Design, Mechanics of Materials, Failure Analysis, Engineering Materials and others along with tool specific training (ANSYS, FE-Safe, GT, AVL) to make Design decisions based on numerical predictions of structural performance of components and systems. Owns problem resolution for moderately complex components, products, systems, subsystems or services with technical complexity and ambiguity increasing as experience is gained in the role. Provides independent execution of established work processes and systems, while still developing technology or product knowledge; engages with the improvement of systems and processes. Involves minimal direct management of people, but could involve the coordination and direction of work amongst technicians and/or temporary student employees. Contributes effectively toward team goals, exhibits influence within a work group and continues to develop proficiency in the competency areas critical to success in the role.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.

Candidates with experience in automation and the application of AI tools, Codex, and Python to enhance simulation methods and optimization workflows will be preferred. Hands-on experience with tools such as Creo, ANSYS, and experimental data post-processing using Testlab is considered a strong advantage.

College Job type: Entry Level Full-time

Subfunction:  Structural, dynamics and Acoustics systems - Analytical (SDAS)

Degree level: MS

Educational Program: Prefer ME, open to other relevant disciplines like AE, IE etc.

Start date:  Jan 2027.

Job Skill Requirements: Candidates with experience in FEA automation and design optimization will be preferred. Skills such as hands on experience in using ANSYS for analyses and/or experimental data post processing using Test lab, Ncode etc. is an added advantage.

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 

Competencies:
Applies Principles of Dynamics and Vibration - Determines motion of components and systems via numerical modeling and/or physical measurements; evaluates rigid and flexible body motion, natural frequencies, mode shapes, displacements, velocities, accelerations, friction, and wear to draw conclusions that influence design decisions with internal and external customers.
Applies Principles of Fatigue and Durability - Determines life of components and systems via numerical modeling and/or physical measurements; evaluates component temperatures, natural frequencies, mode shapes, displacements, strains/stresses, wear, and fatigue life to draw conclusions that influence design decisions with internal and external customers.
Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference (population and sample, confidence intervals, and hypothesis testing); models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions.
Product Function Modeling, Simulation and Analysis - Impacts product design decisions through the utilization and/or interpretation of computational tools and methods that predict the capability of a product's function relative to its system, sub-system and/or component level requirements.
Product Problem Solving - Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; andidentifies the systemic root causes and recommended actions to prevent problem reoccurrence.
Systems Modeling and Simulation - Identifies representation of a system or system element by using suitable analytical tools and techniques in order to derive knowledge about the real system; defines the strategy for modeling, simulation, and analysis of a system or system element by considering specifics of a given situation or nature of the system of interest in order to derive insights for making quality decisions.
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
Decision quality - Making good and timely decisions that keep the organization moving forward.
Drives results - Consistently achieving results, even under tough circumstances.
Self-development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
Values differences - Recognizing the value that different perspectives and cultures bring to an organization.
Systems Thinking - Defines the system of interest by drawing the boundaries, identifying its context within its environment, its interfaces, and that it has a lifecycle to aid in planning the problem statement, scope and deliverables; analyzes linkages and interactions between elements that comprise the system of interest by using appropriate methods, models and integration of outcomes to understand the system, predict its behavior and devise modifications to it in order to produce the desired effects.
Technical Documentation - Documents information based on knowledge gained as part of technical function activities; communicates to stakeholders with the goal of enabling improved technical productivity and effective knowledge transfer to others who were not originally part of the initial learning.
Education, Licenses, Certifications:
College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required.
Post-graduate (Master's) degree relevant to this discipline area may be required for select roles.
This position may require licensing for compliance with export controls or sanctions regulations.
Experience:
Entry level/Early career professional. Preferred candidates would have relevant experience working in either a temporary student employment environment (intern, co-op, or other extracurricular team activities) or as an early career professional in a relevant technical discipline area. Preferred candidates would also have a mix of experience using MS Office tools, Matlab, Python, APDL-ANSYS, FORTRAN or C programming, Windows/Linux operating systems, and desktop/remote high performance computing hardware systems.

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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