ZipRecruiter

Log In

1

Data Science Manager Jobs in Columbus, OH (NOW HIRING)

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

The Team: You will be joining a team of analytics and data science professionals within the ... Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity * Work ...

Pwc

AI & GenAI Data Scientist - Manager

Columbus, OH

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

next page

Showing results 1-20

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

Data Science Manager information

See Columbus, OH salary details

$28.5K

$89.2K

$157.9K

How much do data science manager jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data science manager in Columbus, OH is $89,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $115,200.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that 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 and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Columbus, OH? The most popular types of Data Science jobs in Columbus, OH are:
What are popular job titles related to Data Science Manager jobs in Columbus, OH? For Data Science Manager jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Columbus, OH look for? The top searched job categories for Data Science Manager jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Data Science Manager jobs? Cities near Columbus, OH with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Columbus, OH as of June 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $89,160 per year, or $42.9 per hour.

Senior Data Scientist

Management Institute of Canada

Dublin, OH • Hybrid

Full-time

Medical, Retirement

Posted 8 days ago

Job description

Together we make breakthroughs possible.

At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.

Why join OCLC?

OCLC is consistently recognized as a best place to work by several independent programs. Werecognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.

  • We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.

  • Free use of our on-site tness center, gym sports, group exercise classes, and game room

  • Onsite catering and cafeteria subsidized by OCLC

  • Health and wellness events

  • Work environments with individual and team spaces and the latest technology tools

  • Paid parental leave and adoption assistance

  • Tuition reimbursement and Public Service Loan Forgiveness eligibility

  • Company-subsidized pricing on local tickets and memberships

Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.

The job details are as follows:As a Senior Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

Responsibilities:

  • Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems and drive data-driven decision making across the organization
  • Conduct rigorous statistical analysis, validate hypotheses, and provide actionable insights to stakeholders
  • Build and optimize end-to-end data pipelines, including data extraction, transformation, and feature engineering to support scalable ML solutions
  • Review, scale, and enhance operationalized statistical and machine learning models and algorithms, and quantify improvements in terms of business efficiency or customer experience
  • Create repeatable processes and scalable data products by, for example, automating feedback loops for production statistical or machine learning models
  • Perform exploratory data analysis on large-scale datasets to uncover patterns, trends, and opportunities for innovation
  • Implement MLOps best practices, including model versioning and monitoring to ensure reliable model performance in production.
  • Mentor junior data scientists and contribute to the development of team capabilities through code reviews, knowledge sharing, and best practice documentation
  • Influence functional teams to develop best practices across the organization
  • Identify areas of opportunity for data science to effect change and drive strategic business impact
  • Maintain engagement with the data science community and current industry developments to assist in driving technical data science team vision and strategy

Requirements:

  • Master's Degree in a quantitative field (Mathematics, Computer Science, or Statistics or related quantitative fields) and 5+ years professional experience in a data science roleorPhD in a quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role
  • Deep understanding of machine learning algorithms, statistical modeling techniques, and their practical applications, along with extensive experience using ML frameworks and libraries such as scikitlearn, TensorFlow, or similar tools.
  • Strong SQL skills and experience working with large-scale data warehousing platforms, particularly Snowflake
  • Expert proficiency in a scripting language such as Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn) and strong programming skills in Java or similar languages
  • Intermediate proficiency in a low-level or performant language
  • Expert proficiency in working within a cloud computing environment using software development best practices
  • Hands-on experience with cloud platforms (AWS and/or Azure) including services for data storage, processing, and model deployment
  • Proven track record of deploying machine learning models to production environments and measuring their business impact
  • Experience automating production-quality statistical or machine learning models at scale with expert understanding of their underlying mathematical and statistical theory
  • Experience with version control (Git), containerization (Docker), and CI/CD practices
  • Experience and expertise solving complex and highly impactful quantitative business problems
  • Self-starting attitude; ability to spearhead new data science initiatives and collaboration across functional teams
  • Demonstrates excellent communication skills with ability to explain statistic and mathematical concepts to non-experts

Working Conditions:Normal office environment.

ADA/EAA:The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Apply