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Data Science Remote Internship Jobs in Ohio (NOW HIRING)

ERP Suites

AI & Mobile Product Manager

Loveland, OH · On-site +1

Although the position will be remote, there might be some occasional travel to ERP Suites ... Daily Activities: • Collaborate with engineering, data science, and design teams to review ...

GRVTY

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

GRVTY

Senior Scientist

Dayton, OH · Remote

$88K - $121K/yr

You will work alongside algorithm engineers, data scientists, and intelligence analysts to develop and apply physics-based models, image science methods, and multi-platform remote sensing analytics.

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with ...

Skyline Scientific Inc

Senior Scientist

Dayton, OH · Remote

$85K - $116K/yr

This role applies physics-based modeling, image science, and data analytics to detect, track, locate, and characterize remote sensing targets. While familiarity with OPIR is valuable, the primary ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field (preferred) * 3-5 years of hands‑on experience in a data engineering role * Strong SQL skills and a solid ...

Deloitte

GCP Manager

Dayton, OH · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

GCP Manager

Cincinnati, OH · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

GCP Manager

Cleveland, OH · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Deloitte

GCP Manager

Columbus, OH · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

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Data Science Remote Internship information

What are the key skills and qualifications needed to thrive as a Data Science Remote Intern, and why are they important?

To thrive as a Data Science Remote Intern, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework or projects in data science or related fields. Familiarity with tools such as Jupyter Notebook, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow) is typically expected. Strong problem-solving abilities, self-motivation, and effective communication are essential soft skills for collaborating remotely and conveying analytical insights. These competencies ensure you can independently contribute to projects, adapt to remote workflows, and deliver actionable data-driven solutions.

What is a Data Science Remote Internship?

A Data Science Remote Internship is a temporary, practical work experience opportunity in the field of data science that is completed remotely, usually from your own home or any location with internet access. Interns work on real-world projects involving data analysis, machine learning, and statistical modeling, often collaborating with teams through online communication tools. This type of internship is ideal for gaining hands-on experience, building a portfolio, and developing skills relevant to data science careers, all while offering flexibility and eliminating the need to relocate.

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

AspectData Science Remote InternshipData Analyst Remote Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Statistics, or related fieldsOften pursuing or recent graduate in Data Analysis, Business, or related fields
Work EnvironmentRemote, collaborative with data science teams, using programming languages like Python or RRemote, focusing on data interpretation, visualization, and reporting tools like Excel, SQL, Tableau
Employer & Industry UsageTech companies, finance, healthcare, startupsBusiness, marketing, finance, consulting firms

While both roles involve working with data remotely, Data Science Remote Internships focus on building predictive models and programming skills, whereas Data Analyst Remote Internships emphasize data interpretation, visualization, and reporting. The choice depends on your career goals and skill set.

What types of projects can I expect to work on during a remote data science internship, and how is project collaboration typically managed?

During a remote data science internship, you can expect to work on projects such as data cleaning, exploratory data analysis, model development, and visualization tasks that support ongoing business needs. Collaboration is commonly managed through virtual tools like Slack, Zoom, and project management platforms (e.g., Jira or Trello), with regular check-ins and code reviews from your mentor or team. Interns often participate in team meetings, contribute to group presentations, and use version control systems like Git to share code and receive feedback. This structure ensures you gain practical experience while staying connected with your team, even in a remote setting.
What are the most commonly searched types of Data Science Remote jobs in Ohio? The most popular types of Data Science Remote jobs in Ohio are:
What are popular job titles related to Data Science Remote Internship jobs in Ohio? For Data Science Remote Internship jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science Remote Internship jobs in Ohio look for? The top searched job categories for Data Science Remote Internship jobs in Ohio are:
What cities in Ohio are hiring for Data Science Remote Internship jobs? Cities in Ohio with the most Data Science Remote Internship job openings:
Data Science Remote Internship jobs near you

Sr. Data Scientist, Advanced Analytics and Insights

Huntington

Columbus, OH • On-site, Remote

Full-time

Posted 18 days ago

Job description

Description

Summary:

The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.

Duties and Responsibilities:

  • Performs advanced analytics methods to extract value from business data.
  • Performs large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
  • Influences product teams through presentation of data-based recommendations.
  • Evangelizes best practices to analytics and products teams.
  • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
  • Performs other duties as assigned.

Basic Qualifications:

  • Master's Degree in computer science, statistics, economics or related fields
  • 3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.

Preferred Qualifications:

  • Up-to-date knowledge of machine learning and data analytics tools and techniques
  • Strong knowledge in predictive modeling methodology
  • Experienced at leveraging both structured and unstructured data sources
  • Willingness and ability to learn new technologies on the job
  • Demonstrated ability to communicate complex results to technical and non-technical audiences
  • Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
  • Strategic, intellectually curious thinker with focus on outcomes
  • Professional image with the ability to form relationships across functions
  • Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
  • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
  • Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
  • Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
  • Financial Services background


Exempt Status: (Yes= not eligible for overtime pay) (No= eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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