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Trainee Data Science Jobs in Ohio (NOW HIRING)

Cooper Farms, Inc.

Hatchery Manager Trainee

Oakwood, OH · On-site

$20.20/hr

... data monitoring. SHIFT HOURS: Monday through Friday 1st shift STARTING HOURLY RATE: $20.20/hr ... Supervisory background with a college degree in business or poultry science or equivalent ...

Statistics Interest Group

Department Chair

Cleveland, OH · On-site

$300 - $400/hr

... EHR data sets, patient and population interventional sciences, biostatistics, artificial ... The department oversees >200 trainees in four MS and three PhD programs in quantitative and ...

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Trainee Data Science information

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

What are the key skills and qualifications needed to thrive as a trainee data scientist, and why are they important?

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

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

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.

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 are popular job titles related to Trainee Data Science jobs in Ohio?

For Trainee Data Science jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Trainee Data Science jobs in Ohio look for?

The top searched job categories for Trainee Data Science jobs in Ohio are:

What cities in Ohio are hiring for Trainee Data Science jobs?

Cities in Ohio with the most Trainee Data Science job openings:

Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Technical Program Manager - Trainee

Service Global, Inc

New Albany, OH • On-site

$123K - $160K/yr

Per diem

Posted 19 days ago

Job description

Technical Program Manager Trainee - Data Center Infrastructure
About the Program
Service Global delivers technology infrastructure work - including low-voltage cabling, fiber, network build, and data center deployment for enterprise customers across multiple sites and geographies.
This program develops early-career technologists into Technical Program Managers who can plan, coordinate, and drive complex infrastructure projects to completion.
Participants begin by supporting project documentation, tracking, and supervised technical activities. As they demonstrate competency, they may take ownership of coordination workstreams, defined work packages, project reporting, and customer-facing deliverables.
This is a mentored and evaluated program with explicit learning objectives. It is a strong fit for candidates completing OPT or STEM OPT who want their practical training to map directly to their degree.
Who This Role Is For
We are looking for recent graduates, or students completing their degree requirements, in fields such as:
  • Information Systems, Information Technology, or Management Information Systems
  • Electrical, Computer, Telecommunications, or related Engineering disciplines
  • Computer Science, Software, Data, or closely related fields
The work is directly related to these fields through infrastructure systems, network and cabling architecture, structured documentation and data management, systems tools, and the technical program management of physical IT deployments.
Program Learning Objectives
By program completion, participants will be able to:
1. Interpret Data Center Infrastructure Designs
Read and apply cable schedules, rack elevations, port maps, cable pathways, labeling standards, and test plans, and explain how copper and fiber cabling, patching, and testing fit into end-to-end delivery.
2. Manage Project Data and Documentation
Build and maintain trackers, dashboards, redlines, issue logs, test trackers, and turnover packages with measurable accuracy and completeness.
3. Coordinate Technical Execution
Sequence tasks, manage action items, and coordinate across field leads, material teams, vendors, and documentation teams to keep work on schedule.
4. Drive Quality and Risk Management
Support QA/QC tracking for labeling accuracy, test readiness, punch-list items, and rework. Identify, escalate, and follow blockers such as material delays, access issues, work-package gaps, and test failures through resolution.
5. Apply Program Management Fundamentals
Support SLA monitoring, reporting, ticketing workflows, schedule coordination, and customer-facing status communication.
6. Contribute to Process Improvement
Analyze reporting, handoff, data-quality, ticketing, and workflow inefficiencies and propose measurable improvements.
Progress against these objectives will be reviewed at defined checkpoints with the participant's assigned mentor and supervisor. For STEM OPT participants, these objectives will align with the Form I-983 training plan.
Core Responsibilities
  • Support Project Managers and Technical Program Managers with daily trackers, task updates, schedule coordination, action items, and follow-ups.
  • Maintain project documentation, including cable schedules, labeling records, redline notes, issue logs, test trackers, and turnover checklists.
  • Build and maintain dashboards, trackers, reporting templates, and ticket updates while safeguarding project data accuracy.
  • Support QA/QC tracking for labeling accuracy, test readiness, punch-list items, rework status, and documentation completeness.
  • Track and escalate blockers, including material delays, access issues, work-package gaps, test failures, and documentation mismatches.
  • Coordinate across Project Managers, Technical Program Managers, field leads, material teams, helpdesk teams, vendors, and documentation teams.
  • Support schedule, SLA, progress, risk, and customer-facing status reporting.
  • Propose process improvements for reporting, handoff, ticketing, data accuracy, and workflow efficiency.
  • Participate in supervised data center walkthroughs to learn infrastructure standards, safety expectations, cable management, and execution flow.
  • Support the coordination and closeout of assigned project activities and defined work packages under the direction of the assigned mentor or supervisor.
Mentorship and Evaluation
  • An assigned mentor, typically a Technical Program Manager or Project Manager, and a defined supervision structure.
  • Structured onboarding into infrastructure standards, safety requirements, project tools, and documentation practices.
  • Periodic performance and learning-objective reviews.
  • Practical exposure to project documentation, infrastructure execution, quality tracking, reporting, and cross-functional coordination.
  • For STEM OPT participants, support with the Form I-983 training plan, required self-evaluations, and applicable reporting requirements.
Minimum Qualifications
Required
  • Bachelor's degree completed, or currently in the final term, in Information Systems, Information Technology, Engineering, Computer Science, or a closely related field.
  • Strong organizational skills, attention to detail, and written communication skills.
  • Proficiency with spreadsheets and comfort learning ticketing, dashboard, reporting, and documentation tools.
  • Eligible to work in the United States through F-1 OPT or STEM OPT.
  • Field of study must align with the responsibilities and learning objectives of the role.
  • Ability to travel nationally and work at assigned project sites.
  • Ability to work full-time for 40 hours per week.
Preferred
  • Coursework or exposure to networking, cabling, structured wiring, data center infrastructure, systems analysis, data management, or project management.
  • Familiarity with data and reporting tools such as Microsoft Excel, Google Sheets, BI dashboards, or ticketing systems.
  • Exposure to project trackers, issue logs, technical documentation, process workflows, or quality-control activities.
  • Interest in developing a career in technical project or program management within data center infrastructure.
Physical and Site Requirements
  • Ability to work in active data center, construction, and low-voltage environments while following all site safety and PPE requirements.
  • Ability to stand and walk for extended periods.
  • Ability to navigate raised floors, stairs, and ladders where permitted and required.
  • Ability to occasionally lift up to approximately 25 pounds.
  • Ability to comply with customer and site-access, security, drug-screening, and background-check requirements, where applicable.
  • Equal Employment Opportunity and Work Authorization
    Service Global is an equal-opportunity employer and an E-Verify participant.
    We consider qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable law.
    This role is open to F-1 OPT and STEM OPT candidates whose field of study aligns with the responsibilities and learning objectives described above. Employment is subject to verification of valid work authorization and all applicable employment-eligibility requirements.

Mandatory Skills
Copper & Fiber Installation (Data Center), Cable Routing & Identification, Installation Tools Handling, Cabling Standards & Cable Labeling & Dressing

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