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Internship Nba Data Science Jobs in Ohio (NOW HIRING)

Recent graduate or 0-3 years of Data Science experience (internships, co-ops, research, or professional experience). * Strong programming skills in Python. * Experience writing SQL queries.

New

... and Data Leads. Essential Duties and Responsibilities: This position will support interns and ... Bachelor's in education, Business or Science. Other Position Requirements: * Proof of U.S.

$26/hr

... & AI Science internship position located in Columbus, OH. This is a part-time internship position for our Fall Rotation, from September 8, 2025 through December 12, 2025 in Columbus, OH. WHAT AWAITS ...

$109K - $131K/yr

... Science, Data Science, Electrical Engineering, Applied Math, or related field. • Strong Python ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... Science, Data Science, Electrical Engineering, Applied Math, or related field. • Strong Python ... Academic or internship experience in machine learning, AI, or data-driven projects. • Solid ...

Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • Internship experience in Data or Software Engineering • Knowledge of developing dimensional data models ...

Cyber Research Scientist (Early Career)

Columbus, OH · On-site

$112K - $138K/yr

... Data Science, or a related technical field * 0-2 years of experience in cybersecurity, OSINT research, cyber threat intelligence, or related analytical or technical roles; internships, research ...

Process Improvement & AI Intern

Canton, OH · On-site

$19.25 - $33.50/hr

Metallus Internship Program At Metallus, our internship program is designed to make you part of our ... Manufacturing Engineering, Industrial Engineering, Data Analytics, Computer Science, Statistics, or ...

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Internship Nba Data Science information

What is the difference between Internship Nba Data Science vs Data Analyst?

AspectInternship Nba Data ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsBachelor's degree in related field, some certifications
Work EnvironmentSports industry, team or organization-specificVarious industries, corporate or agency settings
Employer & Industry UsageNBA teams, sports analytics firmsBusinesses across sectors like finance, marketing, healthcare
Common Search & ComparisonYesNo

Internship Nba Data Science roles focus on applying data analysis within the sports industry, specifically basketball, often involving sports-specific datasets and tools. Data Analysts work across multiple industries, analyzing data to inform business decisions. While both roles require analytical skills, internships are typically entry-level and project-based, whereas Data Analyst positions may require more experience and broader industry knowledge.

What cities in Ohio are hiring for Internship Nba Data Science jobs? Cities in Ohio with the most Internship Nba Data Science job openings:

Junior Data Scientist

ComResource

Columbus, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Location: Columbus, OH (Hybrid – onsite several days per week with flexibility)


Position Overview

ComResource is seeking a Junior Data Scientist. This is an excellent opportunity for a recent college graduate or early-career Data Scientist looking to gain hands-on experience building predictive models, working with machine learning, and supporting AI initiatives in a collaborative environment.


You'll work alongside experienced Data Science leaders on projects that drive business decisions through predictive analytics and forecasting. If you're curious, eager to learn, and passionate about solving business problems with data, this role offers an outstanding opportunity to grow your career.


Key Responsibilities

  • Build, test, and improve predictive machine learning models.
  • Analyze large datasets to uncover trends and actionable insights.
  • Support forecasting initiatives, including demand planning, cash flow, and treasury forecasting.
  • Perform data preparation, feature engineering, and model optimization.
  • Assist with deploying and monitoring machine learning models in production.
  • Collaborate with Data Engineers and cross-functional teams to build scalable analytics solutions.
  • Translate business challenges into data-driven recommendations.
  • Stay current on emerging AI, machine learning, and analytics technologies.


Required Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, or another quantitative field.
  • Recent graduate or 0-3 years of Data Science experience (internships, co-ops, research, or professional experience).
  • Strong programming skills in Python.
  • Experience writing SQL queries.
  • Understanding of machine learning concepts such as regression, classification, and time series forecasting.
  • Experience with common Python libraries such as Pandas, NumPy, and Scikit-learn.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Eagerness to learn and grow in a team environment.


Preferred Qualifications

  • Exposure to Databricks.
  • Experience with Git or other version control tools.
  • Academic, internship, Kaggle, or personal machine learning projects.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Interest in AI, predictive analytics, and forecasting.


Note to Agency Recruiters: ComResource will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any ComResource colleagues, directly or indirectly, will be considered ComResource property.