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Junior Machine Learning Jobs in Ohio (NOW HIRING)

Safelite Group

Lead Data Scientist

Columbus, OH · On-site

Lead the development of advanced machine learning models, statistical frameworks, and optimization ... Mentor both junior data scientists on advanced analytical methodologies and software engineering ...

Safelite Group, Inc.

Lead Data Scientist

Columbus, OH · On-site

Lead the development of advanced machine learning models, statistical frameworks, and optimization ... Mentor both junior data scientists on advanced analytical methodologies and software engineering ...

HEF USA

Junior Accountant

Springfield, OH · On-site

$42K - $54K/yr

... machinery components. Today HEF is active in more than 40 countries throughout Europe, Asia, and ... Ability to adapt to changes and follow established procedures while learning new ways of working.

Deloitte

Senior AI Engineer - SFL Scientific

Cincinnati, OH · On-site

$100K - $137K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH

$100K - $138K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

Deloitte

Senior AI Engineer - SFL Scientific

Cleveland, OH · On-site

$101K - $139K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

Pwc

CTIO AI Engineering Manager

Toledo, OH · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Pwc

CTIO AI Engineering Manager

Cincinnati, OH · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Pwc

CTIO AI Engineering Manager

Cleveland, OH · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Pwc

CTIO AI Engineering Manager

Columbus, OH · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Pwc

Payer Healthcare Data Scientist, Manager

Toledo, OH

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... junior staff while securing project success and maintaining exemplary standards. This role offers ...

Pwc

Payer Healthcare Data Scientist, Manager

Cleveland, OH · On-site

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... junior staff while securing project success and maintaining exemplary standards. This role offers ...

Pwc

Payer Healthcare Data Scientist, Manager

Columbus, OH · On-site

$99K - $232K/yr

... and machine learning techniques to large-scale claims, clinical, and member data to surface ... junior staff while securing project success and maintaining exemplary standards. This role offers ...

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Junior Machine Learning information

See Ohio salary details

$7

$25

$45

How much do junior machine learning jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for junior machine learning in Ohio is $25.63, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $31.54 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Ohio?

The most popular types of Machine Learning jobs in Ohio are:

What are popular job titles related to Junior Machine Learning jobs in Ohio?

For Junior Machine Learning jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Ohio look for?

The top searched job categories for Junior Machine Learning jobs in Ohio are:

What cities in Ohio are hiring for Junior Machine Learning jobs?

Cities in Ohio with the most Junior Machine Learning job openings:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $53,304 per year, or $25.6 per hour.

Lead Data Scientist

Safelite Group

Columbus, OH • On-site

Other

Re-posted 22 days ago

Safelite rating

6.6

Company rating: 6.6 out of 10

Based on 244 frontline employees who took The Breakroom Quiz

210th of 369 rated vehicle maintenance

Job description

Does this position interest you? You should apply - even if you don't match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.
Does this position interest you? You should apply - even if you don't match every single requirement! We're known as an auto glass company. That's the focus of what we do. But beyond the glass, we're so much more. We'll help you build a fulfilling career and encourage you to have a life. Let us be the best place you'll ever work.
A Brief Overview
The Lead Data Scientist serves as a technical leader responsible for developing, deploying, and scaling advanced analytical, machine learning, and optimization solutions that drive measurable, profitable outcomes across Safelite's Consumer Sales & Pricing activities. The role owns end-to-end data science solutions-from problem framing through production deployment-while translating complex analytical outputs and AI innovation into actionable business insights. This position plays a critical role in pricing optimization, experimentation strategy, and advancing the organization's analytics capabilities through technical leadership, mentorship, and innovation.
What You Will Do
  • Lead the development of advanced machine learning models, statistical frameworks, and optimization solutions to support consumer and sales growth. Define and enforce best practices for model development, validation, deployment, and monitoring.
  • Drive innovation through the application of cutting-edge techniques, including: Deep learning, Natural language processing (NLP), Causal inference, Reinforcement learning and emerging AI technologies.
  • Serve as the technical escalation point for complex analytical and modeling challenges
  • Continuously evaluate emerging methods and ensure their practical applicability to business problem
  • Own the full lifecycle of data science solutions: problem framing, feature engineering, model development, production deployment, ongoing monitoring and improvement
  • Translate ambiguous, high-level business questions into structured analytical approaches
  • Ensure models are scalable, performant, explainable, and maintainable in production environments
  • Partner with engineering and platform teams to operationalize models
  • Work closely with senior business, sales, and product stakeholders to identify high-value use cases. Translate complex model outputs into actionable insights and clear strategic recommendations.
  • Quantify business impact and ensure alignment with organizational KPIs, revenue goals, and growth strategies.
  • Influence decision-making through compelling, data-driven narratives, not just technical outputs
  • Mentor both junior data scientists on advanced analytical methodologies and software engineering and coding best practices
  • Contribute to building a high-performance analytics culture
  • Lead knowledge sharing through code reviews, technical standards, and design discussions
  • Collaborate with data engineering, platform, and architecture teams to define data requirements, pipelines, and scalable analytics architecture
  • Advocate for data quality, governance, and reproducibility and documentation standards
  • Evaluate and integrate new tools, frameworks, and technologies into the analytics ecosystem where they deliver clear value
  • Performs other duties as assigned
  • Complies with all policies and standards

What You Will Need
  • Bachelor's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Required
  • Master's Degree In Data Science, Statistics, Computer Science, Mathematics, Physics, Engineering, or a related quantitative field Preferred
  • 7-9 years Experience in data science, machine learning, applied research, or advanced analytics Required
  • Proficient in SQL
  • Advanced experience with top statistical programming languages (R or Python)
  • Experience working in cloud-based analytics environments
  • Hands-on experience building Regression models, Classification models, Clustering models
  • Strong understanding of machine learning algorithms, statistical modeling, and optimization techniques
  • Experience with A/B, multi-arm, and pre-post testing
  • Familiarity with ML operations (MLOps), including versioning, monitoring, and CI/CD pipelines
  • Familiarity with GenAI/LLMs for price recommendation explainability; competitive intelligence from unstructured data
  • Previous work on pricing strategy, pricing optimization, or pricing engines
  • Experience designing experiments without commercial testing platforms
  • Experience collaborating with data engineering and data management teams to deploy models in production, monitor model drift, and implement re-training cadences.

Expected Work Location (In Office): It is expected that you will primarily perform work at the Safelite Home Office (7400 Safelite Way, Columbus, OH 43235). You are required to work in the office at least 4 days a week. Changes to work location arrangements are subject to managerial approval and business needs. #LI-Onsite #LI-JR2
This job description in no way states or implies that these are the only duties to be performed by an employee occupying this position. Employees may be required to perform other related duties as assigned to ensure workload coverage. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.
This position description is not all inclusive for every aspect of this role. Reasonable accommodations will be made for individuals covered by ADA, ADEA, FMLA and other laws and regulations in accordance with their requirements. Physical and mental demands are not, and should not be construed to be job qualification standards, but are illustrated to help the employer, employee and/or applicant identify tasks where reasonable accommodations may need to be made when an otherwise qualified person is unable to perform the job's essential duties because of an ADA disability.
Other qualifications may be required to ensure employment eligibility in accordance with local laws, regulations and with Safelite Group, Inc. policies and practices.

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