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Data Science Entry Jobs in Ohio (NOW HIRING)

Student Assistant

Columbus, OH · On-site

$14.25 - $18/hr

This position offers hands-on experience in data entry, analytics, reporting, business intelligence ... Current undergraduate student enrolled in Computer Science & Engineering, Data Analytics ...

Develops proficiency for all associated computer-based data entry. * Brings improvement suggestions to Color Scientists and the Color Science Manager. * Maintains good housekeeping practices for ...

Part-Time Data Assistant

Cincinnati, OH · On-site

$16 - $21.25/hr

Maintain Data Management documents (requisition forms, Data Management Unpacking Resolution Forms ... Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on ...

Part-Time Data Assistant

Cincinnati, OH · On-site

$16 - $21.25/hr

Maintain Data Management documents (requisition forms, Data Management Unpacking Resolution Forms ... Continually recognized with CRO Leadership Awards from Life Science Leader magazine based on ...

... single entry * Keep Install Base data fresh and accurate by reviewing customer reports and ... Bachelor's degree in Computer Science, Statistics, Mathematics, or related field. * Basic ...

Raider Immersion Intern - Team Member (ARS)

Dayton, OH · On-site

$12 - $15.25/hr

Experience working with multidisciplinary teams (Computer Science / Engineering, Data Science ... entry workflows, record storage, search, filtering, basic reporting, dataset population, and ...

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Data Science Entry information

See Ohio salary details

$10

$18

$26

How much do data science entry jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for data science entry in Ohio is $18.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.82 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What are entry-level data science jobs called?

Entry-level data science jobs are often called Data Analyst, Junior Data Scientist, or Data Science Intern positions. These roles typically require foundational skills in programming, statistics, and data visualization, and may involve using tools like Python, R, or SQL. They serve as starting points for building experience in data analysis and modeling.

Is 40 too late for data science?

Data science entry roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.
What job categories do people searching Data Science Entry jobs in Ohio look for? The top searched job categories for Data Science Entry jobs in Ohio are:
What cities in Ohio are hiring for Data Science Entry jobs? Cities in Ohio with the most Data Science Entry job openings:
Infographic showing various Data Science Entry job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,507 per year, or $18.5 per hour.

Speculative application for direct entry

Rosennxt

Columbus, OH

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Rosenxt is a forward-thinking technology group - we are visionary architects of progress with 45 years of engineering excellence.

As a privately owned global partner, we look far beyond tomorrow, are committed to the long-term and thus turning opportunities into successful ventures. We are tech enthusiasts through and through, diving deep into the latest technologies. This expertise in various technology fields, such as sensors, autonomous robotic, AI or advanced materials and our strong R&D mindset allows us to develop highly innovative products and services for customer in most challenging environments such as subsea, industrial, renewables, or the integrity of water and energy supply. Our purpose goes beyond pure business; it's about creating progress and sustainable value - for our customers, our partners, and society at large.

Why work for Rosenxt?
The US team of Rosenxt is an extended team of people with a passion for technology and innovation. Our ongoing organic growth results in career opportunities and gives our employees chances for further development and added experience. We are a tight-knit group of interdisciplinary engineers, working closely together with state-of-the-art technologies and top-notch engineers around the world. We strive to create a supportive and rewarding environment so everyone can excel.

Our San Luis Obispo, California team primary focuses on developing both software and hardware for prototype sensors used in non-destructive testing. This involves programming near hardware-software interfaces, developing or modifying embedded device drivers on Linux and other embedded kernels, implementing signal processing algorithms, implementing hardware abstraction layers, interfacing with FPGAs, and targeting resource-constrained processors. Our Columbus, Ohio Software and Data Science team works with large data, developing machine learning models to deliver high quality solutions to our partners.

Rosenxt USA seeks to add a:

Speculative application for direct entry

Location:

San Luis Obispo


Nothing suitable?


We are at the beginning of an exciting adventure and would like to expand our team with passionate and committed people. At Rosenxt, we not only create new products and services, but also careers. We believe in innovation, teamwork and the strength of individual contributions. With us, you won't just find a job, but the opportunity to be part of something bigger and help shape the future of our company.

At this exciting time, we are looking for talented people in all areas and offer you the unique opportunity to play an active role in building a new company. Whether you are an expert in product development, production, marketing, IT or other areas - if you share a passion for being part of an ambitious company, we want to hear from you. Your ideas and skills can have a decisive impact on our success.

You can expect a dynamic environment characterized by creativity, collaboration and a lot of fun.

If you are as excited about this adventure as we are, then we look forward to receiving your unsolicited application! Let us know who you are and what you really enjoy doing. We are looking forward to your personal touch and to getting started with you!

Our Offer:

Rosenxt offers an exceptional working environment, salary commensurate with experience and incredible benefits package.

Benefits include:

  • 401(k) matching up to 5%, immediately vested

  • Generous health benefits, effective immediately

  • Medical (PPO, HSA), Dental, Vision, Flexible Spending Accounts

  • Flexible work schedule (Friday half-days off)

  • Incredible work-life balance and flexibility

  • Immediate Vacation time available, Holidays, Paid Time Off

  • Travel to Europe to work with Rosenxt colleagues

  • Employee assistance program

  • Life insurance

  • Parental leave

  • Professional development assistance

  • Referral program

  • Relocation assistance

  • Tuition reimbursement