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Data Science Project Manager Jobs in Columbus, OH

Clayco

Project Manager

Columbus, OH

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

Clayco

Project Manager

Columbus, OH

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

Clayco

Project Manager

Columbus, OH · On-site

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

Clayco

Project Manager

Columbus, OH · On-site

With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building ... Data Center Contractor (Top 3). * 2025 ENR Top 100 Design-Build Firms - Design-Build Contractor ...

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All JobsData Science Project Manager JobsData Science Project Manager Jobs in Columbus, OH

Data Science Project Manager information

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

As of Jun 15, 2026, the average hourly pay for data science project manager in Columbus, OH is $55.55, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $65.00 per hour, depending on experience, location, and employer.

What is the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

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.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight responsibilities.
What are popular job titles related to Data Science Project Manager jobs in Columbus, OH? For Data Science Project Manager jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Columbus, OH look for? The top searched job categories for Data Science Project Manager jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Data Science Project Manager jobs? Cities near Columbus, OH with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Project Manager

Project Manager

Clayco

Columbus, OH

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

About Us

Clayco is a full-service, turnkey real estate development, master planning, architecture, engineering, and construction firm that safely delivers clients across North America the highest quality solutions on time, on budget, and above and beyond expectations. With $8.1 billion in revenue for 2025, Clayco specializes in the "art and science of building," providing fast track, efficient solutions for mission critical, industrial, life sciences, power & energy, aviation, commercial, institutional, residential and sports & entertainment related building projects.

The Role We Want You For

The Project Manager will be based on the construction project site. In this role you will be responsible for taking projects from conceptual stages through closeout. You will work as part of a team to provide the best solutions on design-build projects anywhere from $20 million to over $200 million.

The Specifics of the Role

  • Participate with project team and preconstruction services in development of a Project Chart of Accounts.
  • Coordinate with Project Superintendent in development of a project site logistics plan.
  • Assist Superintendent in the management of subcontractors.
  • Maintain understanding of the Clayco/Owner contract.
  • Oversee the submittal, change order, and pay request process.
  • Assist in generation of project costs and Job Cost Report.
  • Contribute to the analyzing and forecast of quarterly Total Cost Projection reports.
  • Monitor and record training of all staff personnel.
  • Monitor project labor.
  • Report and track equipment needs.
  • Assist preconstruction services in bidding projects.
  • Implement applicable safety, EEO, and Affirmative Action programs.
  • Participate in the project’s quality process.
  • Contribute to schedule and project close-out processes.

Requirements

  • Bachelor’s Degree in Construction Management, Engineering, Architecture or related.
  • 6 -10 years of experience managing construction projects ($25+ million) ideally design-build.
  • Strong project safety record and commitment to safety and quality.
  • Previous experience with set-up, budget planning, buyout, and cost reporting.
  • Demonstrated knowledge of construction principles, practices, and technology.
  • Previous experience leading a successful project management team.
  • Creative and results-oriented with a sense of urgency.
  • Ability to walk the job site, climb ladders, and multi floor scaffolding.
  • Ability to lift objects at least 50lbs.

Some Things You Should Know

  • This position will service our clients regionally.
  • Our clients and projects are nationwide - Travel will be required.
  • No other builder can offer the collaborative design-build approach that Clayco does.
  • We work on creative, complex, award-winning, high-profile jobs.
  • The pace is fast!
  • This position is classified as a safety-sensitive role in accordance with applicable state and federal laws. Candidates selected for this position will be subject to a comprehensive background check, which includes mandatory drug testing.

Why Clayco?

  • 2025 Best Places to Work – St. Louis Business Journal, Los Angeles Business Journal, and Phoenix Business Journal.
  • 2025 ENR Top 400 – Top Data Center Contractor (Top 3).
  • 2025 ENR Top 100 Design-Build Firms – Design-Build Contractor (Top 5).
  • 2025 ENR Top 100 Green Contractors – Green Contractor (Top 3).

Benefits

  • Discretionary Annual Bonus: Subject to company and individual performance.
  • Comprehensive Benefits Package Including: Medical, dental and vision plans, 401k, generous PTO and paid company holidays, employee assistance program, flexible spending accounts, life insurance, disability coverage, learning & development programs and more!

Compensation

  • The salary range for this position considers a wide range of factors in making compensation decisions including but not limited to: Education, qualifications, skills, training, experience, certifications, internal equity, and location. Compensation decisions are dependent on the facts and circumstances of each case.


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