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Entry Level Machine Learning Jobs in Columbus, OH

Sogeti

Entry Level Technology Consultant

Columbus, OH · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Explore emerging tech-from artificial intelligence / machine learning to cloud-native engineering ...

LG

Vision Inspection Machine Technician

Jeffersonville, OH · On-site

$18.75 - $24.25/hr

... deep learning concepts. * Be responsible for incident follow-up, root cause analysis and ... co-op, entry level job role, or similar is preferred * Experience with Vision and Inspection ...

OPOC.us

Entry-Level Benefits Advocate

Worthington, OH · On-site

$17/hr

... and fax machines • Prior experience in service-related industry and client care a plus ... Join us! • If your passion is to work in a caring environment • If you believe that learning is ...

Opoc.us

Entry-Level Benefits Advocate

Worthington, OH · On-site

... and fax machines • Prior experience in service-related industry and client care a plus ... Join us! • If your passion is to work in a caring environment • If you believe that learning is ...

OPOC.us

Entry-Level Benefits Advocate

Columbus, OH · On-site

... and fax machines • Prior experience in service-related industry and client care a plus ... Join us! • If your passion is to work in a caring environment • If you believe that learning is ...

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Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for entry level machine learning in Columbus, OH is $16.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $18.37 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Columbus, OH? The most popular types of Machine Learning jobs in Columbus, OH are:
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What job categories do people searching Entry Level Machine Learning jobs in Columbus, OH look for? The top searched job categories for Entry Level Machine Learning jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Entry Level Machine Learning jobs? Cities near Columbus, OH with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Columbus, OH as of July 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $35,088 per year, or $16.9 per hour.
Sales Data Science & AI Enablement Analyst

Sales Data Science & AI Enablement Analyst

Vertiv Group Corp.

Westerville, OH • On-site

Full-time

Posted 7 days ago

New

Vertiv rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

333rd of 430 rated machine equipment manufacturers

Job description


POSITION SUMMARY
  • The Sales Data Science & AI Enablement Analyst is an entry-level role designed for early-career talent with a background in data science, analytics, or machine learning. This role supports the development, testing, and operationalization of advanced analytics and AI-enabled solutions for Sales Operations. Under the guidance of senior team members, the analyst contributes to model development, data preparation, feature engineering, and quality assurance, while learning Vertiv's analytics platforms, engineering standards, and governance practices.

RESPONSIBILITIES
  • Advanced Analytics & AI Support
    • Assist in developing, testing, and refining analytics and AI models for Sales use cases.
    • Contribute to exploratory data analysis, feature engineering, and model evaluation.
    • Document model logic, assumptions, and testing results in alignment with team standards.
  • Data Preparation & Engineering Support
    • Prepare, clean, and transform datasets using Python, SQL, and Snowflake.
    • Support integration of new data sources into analytical workflows.
    • Build reusable scripts, templates, and basic automation components under supervision.
  • Platform & Tooling Enablement
    • Learn and apply Vertiv's analytics technology stack, including Python, Git, Linux environments, Snowflake, Matillion, Sigma, and Power BI.
    • Follow engineering standards for version control, documentation, and code quality.
    • Support senior team members in maintaining shared analytical assets, semantic layers, and reusable patterns.
  • Quality, Testing & Governance
    • Execute validation checks and contribute to analytics quality assurance processes.
    • Identify anomalies or data quality issues and escalate appropriately.
    • Help ensure analytics deliverables meet reliability and governance expectations.
  • Cross-Team Collaboration
    • Collaborate with Sales analytics teams to understand data requirements and support analytical solution development.
    • Participate in code reviews, working sessions, and technical discussions.
    • Communicate findings clearly and professionally to team members and partners.

QUALIFICATIONS
  • Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
  • 0-3 years of foundational experience with Python, SQL, data science, and machine learning concepts (coursework, internships, or projects).
  • Familiarity with version control (Git) and data platforms (Snowflake, or similar).
  • Strong analytical mindset with curiosity and willingness to learn enterprise analytics technologies.
  • Demonstrated attention to detail and commitment to producing high-quality work.
  • Ability to work collaboratively and communicate effectively with technical and non-technical stakeholders.

PHYSICAL & ENVIRONMENTAL DEMANDS
  • No special physical requirements.

TIME TRAVEL REQUIRED
  • No travel required.

The successful candidate will embrace Vertiv's Core Principals & Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity & Inclusion.
OUR STRATEGIC PRIORITIES
  • Customer Focus
  • Operational Excellence
  • High-Performance Culture
  • Innovation
  • Financial Strength

OUR BEHAVIORS
  • Own It
  • Act With Urgency
  • Foster a Customer-First Mindset
  • Think Big and Execute
  • Lead by Example
  • Drive Continuous Improvement
  • Learn and Seek Out Development

At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertivco.com. If you are interested in applying or learning more about this role, please visit the company's career page located on Vertiv.com/Careers.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
About the Team
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

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