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Director Data Analyst Machine Learning Jobs in Columbus, OH

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately overlapping the academic summer. DS interns will have a designated data scientist mentor and will ...

A Brief Overview The Lead Data Scientist serves as a technical leader responsible for developing, deploying, and scaling advanced analytical, machine learning, and optimization solutions that drive ...

... machine learning models and solutions - Managing complex data analysis and integration to support ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and ... The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings ...

A Brief Overview The Lead Data Scientist serves as a technical leader responsible for developing, deploying, and scaling advanced analytical, machine learning, and optimization solutions that drive ...

Data Science Tutor

Columbus, OH · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Showing results 41-60

Director Data Analyst Machine Learning information

See Columbus, OH salary details

$32.8K

$79.8K

$131.4K

How much do director data analyst machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for director data analyst machine learning in Columbus, OH is $79,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,700.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Columbus, OH?

For Director Data Analyst Machine Learning jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Director Data Analyst Machine Learning jobs in Columbus, OH look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Director Data Analyst Machine Learning jobs?

Cities near Columbus, OH with the most Director Data Analyst Machine Learning job openings:

Product Data Decision Science Intern

centralins

Van Wert, OH • On-site

Internship

Posted 9 days ago


Job description

At Central, we believe an internship should be more than completing busy work. We invest in our interns to give them the opportunities needed to grow, nurture and develop their whole self. Why? Because we believe excellence is gained from experience.

Central’s internship program is customized to each internship placement. The program provides members with dedicated time to gain first-hand experience while solving unique business problems. It’s strategically designed to provide diverse exposures throughout the organization, to allow you to learn from our experts and collaborate with teams that do incredible work.

Each internship will be different; however, at its core, the program consists of the following opportunities:

  • Immersive experiences in challenging and meaningful work with built-in continuous learning opportunities
  • Direct impact on work that matters and opportunities to affect successful outcomes and drive corporate objectives
  • Gain the skills and knowledge to become a future trailblazer
  • Build a lasting professional network through events and activities

Data Scientist Internship

  • Apply statistical and analytics techniques to charter a project from start to finish
  • Generate and validate SQL queries to pull together disparate data for hypothesis testing
  • Perform exploratory data analysis to unlock patterns and promote discovery
  • Move from EDA to modeling with the capability to generate predictions
  • Leverage best practices in data visualization to communicate findings and distribute learnings throughout the organization through data story-telling

Ready to dive in? Ideal candidates for this program are:  

  • Naturally curious and ask a lot of questions
  • Interest in learning the ins-and-outs of the insurance industry
  • Capable of coding in either R or Python
  • Knowledge and experience building standard predictive modeling techniques including: linear and non-linear models, regression analyses, machine learning methods (decision trees, XG Boosted trees, neural networks, cluster analysis (KNN), feature selection, etc.), forecasting, time series analysis, survival analysis, and causal impact analyses
  • Capable of writing SQL queries to generate datasets
  • M.S. Students in Statistics, Mathematics, Economics, Computer Science, Engineering or a similarly related field desired

 Next Steps

  • Applications Accepted: Through January 2027, or until all positions are filled
  • Interviews & Offers: Conducted and extended on a rolling basis
  • Internship Dates: May-August 2027, aligning with summer break

Candidates are encouraged to apply early. The job posting will close once all internship positions have been filled.