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Data Science Project Manager Jobs in Ohio (NOW HIRING)

Creek Technologies LLC

Journeyman Project Manager

Dayton, OH · On-site

$49 - $66/hr

Bachelor's degree in Business Administration, Information Systems, Computer Science, Project Management, Data Analytics, Information Technology, or a related field is required. * An equivalent ...

Creek Technologies LLC

Journeyman Project Manager

Dayton, OH · On-site

$49 - $66/hr

Bachelor's degree in Business Administration, Information Systems, Computer Science, Project Management, Data Analytics, Information Technology, or a related field is required. * An equivalent ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

Data Science - 7+ yrs * SAS - 5+ * Python -5+ * SQL * Jupyter, Data Robot preferred * AI tools ... Experience using SQL; preferably Postgres SQL and T-SQL * 3 years leading agile project delivery ...

GRVTY

Data Science - Senior

Dayton, OH · On-site

Build and manage datasets for training and evaluation in collaboration with subject matter experts ... Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or ...

HDR

Data Center Project Manager

Columbus, OH

$116K/yr

Our team is looking for a candidate to meet the demands of our client base including Science and ... The Data Center Project Manager will be responsible for leading design teams and projects from ...

HDR

Data Center Project Manager

Columbus, OH · On-site

$116K/yr

Our team is looking for a candidate to meet the demands of our client base including Science and ... The Data Center Project Manager will be responsible for leading design teams and projects from ...

Goosehead

Data Scientist

Westlake, OH · On-site

You're comfortable owning the full lifecycle of a project - from exploratory analysis to building ... Define and drive the vision for data science at Goosehead, identifying transformative opportunities ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

... data science needs within the organization. The Lead Data Scientist is pivotal in generating ... Lead projects as needed or required - (10%) Minimum Qualifications * Bachelor's Degree in ...

Bread Financial

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

... data science needs within the organization. The Lead Data Scientist is pivotal in generating ... Lead projects as needed or required - (10%) Minimum Qualifications * Bachelor's Degree in ...

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

... managing projects, leading meetings, and communicating with executive stakeholders. • A habit of ... Analytics, Data Science, or Computer Science (or equivalent experience in industry). • Math ...

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How much do data science project manager jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data science project manager in Ohio is $54.67, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $63.99 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.
What are popular job titles related to Data Science Project Manager jobs in Ohio? For Data Science Project Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Ohio look for? The top searched job categories for Data Science Project Manager jobs in Ohio are:
What cities in Ohio are hiring for Data Science Project Manager jobs? Cities in Ohio with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $113,719 per year, or $54.7 per hour.

Data Scientist with Security Clearance

VTG

Beavercreek, OH • On-site

Other

Posted 3 days ago

New

Job description

Overview VTG is seeking a Data Scientist to support our Team in Beavercreek, OH. The Data Scientist will design, prototype, and implement a data management and application development pipeline in support of national defense data science and data architecture prototyping tasks. This role will also include gathering and organizing data, conducting data analytics, and developing data analytic and AI/ML based applications. This is an onsite role due to its classification level. What will you do? The Data Scientist will work with a team of DevOps engineers, software developers, data engineers, and system operators to identify data needs and prototype a range of novel solutions. This data scientist would be involved at all levels of the data life cycle from onboard management of data to its use in application development and back to application integration and gathering test data. * Leverage third-party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment * Perform data analytics of simulated and real-world data * Integrate structured and unstructured data from disparate data sources * Develop applications and models supporting various users * Provide technical input to program managers and government representatives Do you have what it takes? Required qualifications: * Bachelor's Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field * 4+ years of experience as a Data Scientist including experience in statistical modeling and machine learning based on the analysis of large sets of data * Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.) * Programming experience in Python, R, or similar data manipulation languages and associated libraries (e.g. pandas, numpy, polars, dask) * Experience with data science and analytics toolsets (e.g. JupyterHub / Jupyter Notebooks, Apache Spark, MATLAB) * Knowledge of data modeling principles * Experience in knowledge extraction and insights from data in various forms, both structured and unstructured * Cloud development experience, preferably in AWS * Excellent verbal and written communication skills * US Citizen with current TOP SECRET/SCI Eligible Clearance or ability to obtain a TOP SECRET/SCI clearance * Successful completion of background check Desired qualifications: * Master's Degree or higher in Computer Science, Data Science, or Information Systems * Experience establishing data pipelines in cloud platforms, such as AWS, Azure, or Google Cloud * Data visualization experience and associated tools/libraries (e.g. pyplot, seaborn) * Experience using Git for version control and issue tracking * Experience with artifact repositories (e.g. Artifactory) * Experience with CI/CD pipelines (e.g. Jenkins, Gitlab pipelines) * Experience with AI/ML development tools and libraries (e.g. Sagemaker, ML Studio, Tensorflow, Keras, scikit-learn) * Experience leading teams and projects * Programming experience in C++ and Java * Experience with Linux systems

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