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Entry Level Data Science Jobs in Bloomington, IN

... flow, data usage and work processes; investigating problem areas; following the software ... Exempt Entry Level Full Time Subfunction : N/A Degree level : Masters Educational Program

Controls Engineer

Columbus, IN · On-site

$67K - $100K/yr

... data that leads to the correct analysis and conclusion to help differentiate products that meet ... College, university, or degree in STEM (Science, Technology, Engineering, Math) or related field ...

Controls Engineer

Columbus, IN · On-site

$67K - $100K/yr

... data that leads to the correct analysis and conclusion to help differentiate products that meet ... College, university, or degree in STEM (Science, Technology, Engineering, Math) or related field ...

Controls Engineer

Columbus, IN · On-site

$67 - $101/hr

... data that leads to the correct analysis and conclusion to help differentiate products that meet ... College, university, or degree in STEM (Science, Technology, Engineering, Math) or related field ...

... 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 ...

... 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 ...

... 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

See Bloomington, IN salary details

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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 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, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $36,657 per year, or $17.6 per hour.

Engine Emissions Compliance Engineer - Rotation Program

Cummins

Columbus, IN • Hybrid

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:

This entry level/early career professional, dual applied science/product systems focused position utilizes the core competencies of thermal and fluid sciences in the specialized areas of combustion and emissions science, using and advancing analytical and experimental approaches to answer key questions about the performance and architecture of a system or component. This drives decisions and creates technical content which ultimately leads to state of the art, highly effective, environmentally friendly, and competitive products.

Key Responsibilities:

Investigates product, system, and/or technology problems that are related to thermal and fluid sciences, understands causal mechanisms, recommends appropriate action, owns problem resolution and documents results with guidance from more experienced team members. Applies and supports the improvement of processes such as Pre Program Planning, (PPP), Product Preceding Technology, (PPT), Value Package Introduction (VPI), or Value Package Change, (VPC), Engineering Standard Work, (ESW), Functional Excellence Practice (FEP)s and tools related to thermal and fluid sciences such as GT-Power, Fluent, Converge, Concerto, CyberApps (virtual application model), Cummins Data Analysis Tool (CDAT), Mach, test data calculation, DARTS, test data storage, Calterm, Electronic Control Module (ECM) calibration tool, Emissions data system, Integrity, and ACCEPTS ECM in-loop test bench required to support the processes and enable high quality decision making. Obtains input and negotiates with immediate stakeholders, such as team members, technical managers, project leaders, other Thermal Science engineers, product and manufacturing engineers, and supplier partners and delivers information and recommendations to support project decisions, or to provide input related to further analysis, design optimization, feasibility studies, or architecture definition. Makes decisions in the areas of day to day project details, such as conducting analysis, testing, and communication with stakeholders that impact and support the successful progression of projects. 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.

    Engineering Rotation Program - Product Compliance & Regulatory Affairs
Launch your engineering career through our two-year rotation program within Product Compliance & Regulatory Affairs. Participants complete two one-year rotations across a combination of OBD Compliance Test, Emissions Compliance Test, and Compliance Data Analysis teams, gaining broad experience in product compliance, regulatory certification, and engineering analytics.  This program combines hands-on engine and vehicle testing with field vehicle data analysis. Successful candidates are equally excited to work in the laboratory and test cell as they are analyzing data and developing tools to improve engineering efficiency and support compliance decisions.
During the program, participants will:
Perform engine and vehicle emissions and OBD compliance testing.
    Analyze engineering and compliance data to support product certification.
    Develop data processing, visualization, and automation tools and training.
    Investigate test results and perform root cause analysis.
    Collaborate with cross-functional engineering teams while building technical expertise in emissions, diagnostics, and regulatory compliance.
Preferred Qualifications:
Bachelor's degree in Mechanical Engineering, Electrical Engineering, or a related engineering discipline.
    Experience with Python and/or MATLAB for data analysis, visualization, or automation.
    Strong analytical and problem-solving skills with an interest in interpreting engineering data.
    Understanding of controls, diagnostics, or statistics is desired.
    Excellent communication skills and the ability to work effectively in a collaborative team environment.
    Curiosity, initiative, and a desire to learn through both hands-on testing and data-driven engineering.

College Job type: Entry Level Full-time

Subfunction: Electronic Systems

Degree level: BS

Educational Program: Prefer EE

Start date: June 2027

Job Skill Requirements

  1.           Experience with Python and/or MATLAB for data analysis, visualization, or automation.
  2.           Strong analytical and problem-solving skills with an interest in interpreting engineering data.
  3.           Excellent communication skills and the ability to work effectively in a collaborative team environment.
  4.           Curiosity, initiative, and a desire to learn through both hands-on testing and data-driven engineering.


 

Competencies: 
Applies Principles of Combustion and Emissions Science - Interprets and predicts the performance of combustion systems by leveraging a quantitative and intuitive comprehension of the conversion of chemical energy to heat by reacting a fuel with an oxidizer, the formation of exhaust pollutants, modeling tools, controls, and experimental tools to answer key questions about the system or component.
Applies Principles of Fluid Dynamics and Heat Transfer - Interprets and predicts the performance of fluid and thermal systems by leveraging a quantitative and intuitive comprehension of the flow of liquids and gases, the transfer of thermal energy between elements of a system, and the application of modeling and experimental tools, to answer key questions about the system or component.
Applies Principles of Thermodynamics and Energy Conversion Systems - Interprets and predicts the performance of energy conversion systems such as IC engines, gas turbines, fuel cells, and batteries, by leveraging a quantitative and intuitive comprehension of thermodynamics, fluid mechanics, modeling tools, controls, and experimental tools to answer key questions about the system or component.
Product Failure Mode Avoidance - Mitigates potential product failure modes, by identifying interfaces, functions, functional requirements, interactions, control factors, noise factors, and prioritized potential failure modes and potential failure causes for the system of interest to effectively and efficiently improve the reliability of Cummins' products.
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; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence. 
System Requirements Engineering  - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts.
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.
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.
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 Verification and Validation Management - Develops product systems validation plans from a variety of inputs to identify failure modes, while managing product risk and relative priority; negotiates product requirements against capability to guide project scope; evaluates analytical, simulation and physical test results to verify product capability and validate requirements; assesses legacy versus proposed system solution capabilities and produces recommendations with technical documentation to support product decisions.
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.
Product Development Execution, Monitoring and Control - Plans, schedules, coordinates and executes the activities involved in developing a product to a respectively aligned hierarchy of requirements and technical profiles; monitors and communicates across functional boundaries to meet project resource and quality expectations; ensures product capability meets or exceeds expectations and takes mitigating actions when project risks are higher than expected; understands the full product life cycle process and stakeholders.
Design and Application of Open/Closed Loop Controls - Specifies software features that interact with mechanical, hydraulic, chemical and electronic systems to deliver desired system states; specifies control system architectures which include appropriate measurements, correct actuation, and algorithms for Cummins' products; configures and/or understands open/closed loop feedback controls features and the system interactions between hardware and software in Cummins' products. 
Education, Licenses, Certifications: 
College, university, or equivalent Bachelor's degree in Engineering or appropriate STEM field is required. 


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. Knowledge of MS Office tools is also preferred


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