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Data Science Training Jobs in Ohio (NOW HIRING)

... training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on ...

Translate ambiguous business problems into structured data science statements * Organize exploratory analysis, experimentation, and research frameworks * Structure scalable ML pipelines for training ...

Translate ambiguous business problems into structured data science statements * Organize exploratory analysis, experimentation, and research frameworks * Structure scalable ML pipelines for training ...

Translate ambiguous business problems into structured data science statements * Organize exploratory analysis, experimentation, and research frameworks * Structure scalable ML pipelines for training ...

Provide user training about AI in general and the MT internal AI solution specifically. * Design ... Strong understanding of data science, analytics, and data cleaning processes. * Ability to coach ...

New

The role owns endtoend data science solutions-from problem framing through production deployment ... training cadences. Expected Work Location (In Office) : It is expected that you will primarily ...

The role owns end-to-end data science solutions-from problem framing through production deployment ... training cadences. Expected Work Location (In Office) : It is expected that you will primarily ...

Showing results 21-40

Data Science Training information

See Ohio salary details

$22.4K

$95.1K

$178.3K

How much do data science training jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science training in Ohio is $95,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,902.00 and $112,437.00 per year, depending on experience, location, and employer.

How do I get a job in data science training with no experience?

To get a job in data science training with no experience, focus on building foundational knowledge through online courses, certifications, and practical projects. Developing strong communication skills and familiarity with tools like Python, R, or SQL can also improve your chances, and gaining experience through internships or volunteering can help demonstrate your expertise to employers.

What is data science training?

A Data Science Training job involves teaching and guiding individuals or teams in data science concepts, tools, and techniques. Trainers design curricula, conduct workshops, and provide hands-on experience with programming languages like Python or R, machine learning, and data visualization. They may work for educational institutions, corporate training programs, or independently to upskill professionals. The goal is to equip learners with the skills needed to analyze data, build models, and make data-driven decisions.

What training do you need to be a data scientist?

To become a data scientist, you typically need a strong foundation in mathematics, statistics, and programming, often gained through a bachelor's degree in a related field such as computer science, mathematics, or engineering. Many data scientists also pursue advanced degrees like a master's or Ph.D., and proficiency in tools such as Python, R, SQL, and machine learning frameworks is essential. Additionally, practical experience through projects, internships, or certifications can enhance job prospects.

What are the typical responsibilities of a professional in data science training?

Individuals in Data Science Training roles are responsible for developing, organizing, and delivering curriculum on topics such as data analysis, machine learning, and data visualization. They often lead workshops, create interactive tutorials, and provide one-on-one guidance to learners from diverse backgrounds. Collaboration with data science teams and subject matter experts to ensure training content is current and industry-relevant is common. Additionally, professionals assess learner progress and adapt materials to continuously improve the educational experience. This role is ideal for those passionate about teaching and staying at the forefront of new data science advancements.

What are the key skills and qualifications needed to thrive in data science training, and why are they important?

To excel in Data Science Training roles, you need a solid foundation in data analysis, statistical modeling, and expertise with programming languages like Python or R, often supported by a degree in data science or a related field. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning platforms, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are highly valued. Excellent communication, patience, and instructional skills help convey complex topics clearly and foster a collaborative learning environment. These combined skills are essential for effectively designing and delivering training that empowers learners to succeed in the rapidly evolving field of data science.

What are the most commonly searched types of Data Science Training jobs in Ohio? The most popular types of Data Science Training jobs in Ohio are:
Infographic showing various Data Science Training job openings in Ohio as of August 2026, with employment types broken down into 64% Full Time, 16% Part Time, 3% Temporary, and 17% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $95,051 per year, or $45.7 per hour.

Sales Data Science & AI Enablement Analyst

Vertiv Co

Westerville, OH • On-site

Full-time

Re-posted yesterday


Vertiv rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

377th of 487 rated machine equipment manufacturers


Job description

POSITION SUMMARY

  • The Sales Data Science & AI Enablement Analyst is an entrylevel role designed for earlycareer talent with a background in data science, analytics, or machine learning. This role supports the development, testing, and operationalization of advanced analytics and AIenabled 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.
  • CrossTeam 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 highquality work.
  • Ability to work collaboratively and communicate effectively with technical and nontechnical 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.

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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