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No Experience Data Science Jobs in Ohio (NOW HIRING)

Data Science Tutor

Akron, OH · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Data Science Tutor

Columbus, OH · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Data Science Tutor

Cincinnati, OH · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Data Science Tutor

Cleveland, OH · Remote

$18 - $40/hr

... Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems ... Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and ...

Job Location CINCINNATI GENERAL OFFICES Do you enjoy solving billion-dollar data science problems ... Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and ...

Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro, and/or similar * Background in machine learning/artificial intelligence * Experience with GEOINT ...

Data Scientist

Beavercreek, OH · On-site

$90 - $130/hr

Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro, and/or similar* Background in machine learning/artificial intelligence* Experience with GEOINT data ...

Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro, and/or similar * Background in machine learning/artificial intelligence * Experience with GEOINT ...

Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro, and/or similar * Background in machine learning/artificial intelligence * Experience with GEOINT ...

By joining our team, you are helping to provide an experience to our stakeholders that delivers on our promises. Position Summary: Data Science is a driver of significant competitive advantage for ...

Data Scientist

Bath, OH · On-site

$110 - $170/hr

Experience with data science and visualization tools, such as dash, R Shiny, Tableau, JMP/JMP Pro, and/or similar * Background in machine learning/artificial intelligence * Experience with GEOINT ...

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Showing results 1-20

No Experience Data Science information

What key skills and qualifications are needed to succeed in an entry-level data science role with no prior experience, and why are they important?

To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.

What is the difference between No Experience Data Science vs Data Analyst?

AspectNo Experience Data ScienceData Analyst
Required CredentialsEntry-level, often no certifications neededOften requires a degree in related field; certifications like Excel or SQL helpful
Work EnvironmentStartups, internships, or entry-level roles in tech or financeCorporate offices, consulting firms, or government agencies
Industry UsageGrowing in tech, finance, healthcare, and marketingWidely used across industries for data interpretation and reporting
Search & Comparison IntentPeople seeking entry-level data roles with minimal experienceIndividuals comparing entry-level data roles in analytics

While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.

What entry-level tasks or projects can someone without experience expect in a data science role?

In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.

What is a no experience data science job?

'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.

What are the most commonly searched types of Data Science jobs in Ohio?

The most popular types of Data Science jobs in Ohio are:

What job categories do people searching No Experience Data Science jobs in Ohio look for?

The top searched job categories for No Experience Data Science jobs in Ohio are:

What cities in Ohio are hiring for No Experience Data Science jobs?

Cities in Ohio with the most No Experience Data Science job openings:

Infographic showing various No Experience Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

$60K - $77K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

New


Case Western Reserve University rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

34th of 618 rated colleges and universities


Job description

Case Western Reserve University is committed to providing a transparent estimate of the salary range available for this position at the time of its posting. The salary range is between $60,906 and $77,047, depending on qualifications, experience, department budgets, and industry data.
Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.
Job Description
POSITION OBJECTIVE
Working under general supervision, the Data Science Researcher will support the Department of Materials Science and Engineering and the Solar Durability and Lifetime Extension Research Center by planning and conducting data-driven research activities related to materials durability, degradation science, and environmentally exposed technologies. This role will develop data analysis pipelines, perform statistical analysis, manage complex data structures and contribute to technical reports, progress summaries, and scientific manuscripts for submission to academic journals and conference proceedings. This is a one-year term-funded position expected to continue for one year contingent on project needs, funding availability, and satisfactory performance.
ESSENTIAL FUNCTIONS
  1. Conduct data science research to support Solar Durability and Lifetime Extension Research Center projects in materials durability, degradation science, and environmentally exposed technologies; develop and maintain data analysis pipelines, perform statistical and computational analyses, manage and create complex datasets, and present data using advanced statistical programming languages such as R and Python. (70%)
  2. Coordinate research activities with faculty, staff, and student researchers to support timely completion of project goals; track progress against project milestones, maintain research documentation, participate in project planning and team meetings, and assist with implementation planning efforts for events, workshops, symposia, or other programmatic requirements to implement research initiatives. (20%)
  3. Prepare and support dissemination of research products by conducting literature reviews, summarizing technical findings, contributing to technical reports, progress updates, presentations, posters, conference proceedings, and draft manuscripts, and ensuring research outputs are reviewed, documented, and released in accordance with project requirements and award guidelines (9%)

NONESSENTIAL FUNCTIONS
Perform other duties as assigned. (1%)
CONTACTS
Department: Solar Durability and Lifetime Extension Research Center Faculty Director and associated faculty members, Solar Durability and Lifetime Extension Research Center staff, postdoctoral scholars
University: Great Lakes Energy Institute staff, Materials Science and Engineering faculty and staff, limited contact with other university leadership, staff, and faculty as needed.
External: Research collaborators at partner Universities, National Laboratories, and Industry
Students: Graduate and undergraduate students, high school students participating in research.
SUPERVISORY RESPONSIBILITIES
No direct supervisory responsibility. May provide task direction, training, and project coordination for student researchers or other project personnel participating in supported research activities.
QUALIFICATIONS
Education and Experience: Bachelor's degree in statistics, data science, materials science, engineering, or a related quantitative field required and 2 to 3 years or a Master's degree in statistics, data science, materials science, engineering, or a related quantitative field required and 0 years of experience required. Prior experience in research data analysis, statistical modeling (such as applied regression, longitudinal data analysis, and experimental designs), data curation, and database management are highly preferred.
REQUIRED SKILLS
  1. Understanding of common practice and procedures within the field of data science and statistical analysis.
  2. High proficiency in statistical programming languages, specifically R and SAS, and advanced usage of Google and Office Suite products.
  3. Strong attention to detail and ability to maintain accurate and reliable data recording, data curation, project administration, and note-taking
  4. Strong organizational and time management skills.
  5. Excellent oral and written communication skills with a proven track record in scientific writing and research presentation.
  6. Ability to manage multiple tasks, prioritize tasks, and meet strict project deadlines.
  7. Excellent interpersonal skills and the ability to work closely with colleagues and lead multi-disciplinary research teams.
  8. Ability to interpret, summarize, and communicate quantitative findings to research collaborators.
  9. Willingness and ability to learn new techniques, machine learning tools, and materials data science procedures as needed.
  10. Ability to demonstrate successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
  11. Ability to meet consistent attendance.
  12. Ability to interact with colleagues, supervisors, and customers face to face.

WORKING CONDITIONS
General laboratory and office environments. This position may have contact with or exposure to computing clusters, environmental exposure chambers, characterization tools, or other specialized laboratory equipment. If laboratory safety training, personal protective equipment (PPE) including gloves, lab coat and protective eyewear is required, it will be provided where applicable. Limited travel to academic conferences and site visits.
EEO Statement
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.
Reasonable Accommodations
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicants will be made on a case-by-case basis.
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