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Data Science Teaching Assistant Jobs in Ohio (NOW HIRING)

Science Teacher

Cleveland, OH

$46K - $60K/yr

... applicable to teaching assignment. - Masters Degree preferred. - Successful prior teaching ... data information systems, data analysis and the formulation of action plans. - Knowledge of ...

Data Scientist

Bath, OH · On-site

$110 - $170/hr

Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of supplementary data to support intelligence production * Assist in developing approaches to address key ...

... Assist in developing and deploying machine learning models. • Create dashboards and ... data science tools and techniques. Qualifications : Required : • Currently enrolled in an ...

Maintain engagement with the data science community and current industry developments to assist in driving technical data science team vision and strategy Requirements: * Master's Degree in a ...

Variance Analysis:** Assist in preparing unit dispatch and market variance analyses to measure ... Education Requirements:**-Bachelor's degree in economics, data science, mathematics, operations ...

Data Scientist

Beavercreek, OH · On-site

$77K - $176K/yr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

... * Assist in delivering and preparing datasets for analysis, ensuring adherence to quality ... Strong understanding of data science, analytics, and data cleaning processes. * Ability to coach ...

Data Scientist

Dayton, OH · On-site

$77.50 - $176/hr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Showing results 21-40

Data Science Teaching Assistant information

What skills and qualifications are needed to be a data science teaching assistant?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What challenges do data science teaching assistants face when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What is a data science teaching assistant?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or coursework in data science or education. Gaining experience through internships, projects, or assisting in courses can improve prospects for this role.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

What are popular job titles related to Data Science Teaching Assistant jobs in Ohio? For Data Science Teaching Assistant jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science Teaching Assistant jobs in Ohio look for? The top searched job categories for Data Science Teaching Assistant jobs in Ohio are:
What cities in Ohio are hiring for Data Science Teaching Assistant jobs? Cities in Ohio with the most Data Science Teaching Assistant job openings:
Infographic showing various Data Science Teaching Assistant job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sales Data Science & AI Enablement Analyst

Vertiv Co

Westerville, OH

Full-time

Re-posted 3 days ago


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.

What Vertiv employees say

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