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

Data Science Tutor

Columbus, OH ยท Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Partner with front-line DS managers and their teams to assess opportunity areas -- translating ... Mentor data scientists and senior modelers across USDS -- providing technical expertise, business ...

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AI and Data Science Engineer III

Columbus, OH ยท On-site

$110K - $132K/yr

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to ...

AI and Data Science Engineer III

Columbus, OH ยท On-site +1

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

... and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. Qualifications Required * Bachelor's degree, preferably in Computer Science, Information ...

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$28.5K

$89.2K

$157.9K

How much do data science manager jobs pay per year?

As of Jun 11, 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:
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.
Data Science Manager- Credit Card Pricing & Profitability

Data Science Manager- Credit Card Pricing & Profitability

Citizens

Columbus, OH โ€ข Hybrid

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


Job description

Description

The Data Science Manger for Profitability Modeling will leverage a strong background in business economics, Statistics, and technology development to deliver models that forecast business performance based on customer data, macro factors and treatment effects for all consumer lending products.ย  The successful candidate will be intellectually curious, and delivery focused, aligning priorities across multiple stakeholders to mathematically model causal relationships that are explainable to business leaders and allow for differentiated decision making across the consumer lending organization.

Primary Responsibilities:ย 

  • Perform or lead the performance of exploratory data analysis to understand relationships and opportunities to influence outcomes, while being able to quickly iterate common feature transformation and model types to find the best predictive models
  • Develop and document proofs of concept to verify your ideas, including counterfactual explanations for interpretability
  • Work closely with Line of Business to make sure that the proposed solution is performing as it should and is correctly understood
  • Support model validation and model back testing
  • Identify opportunities to apply the latest advancements in pricing theory and ML/AI modeling to build, test, and validate predictive models
  • Leverage expertise in both statistical modeling and business financial analysis to move past association and identify causal relationships
  • Actively mentor Data Scientists and Junior Data Scientists on good software practices
  • Develop and embed automated processes for predictive model validation, deployment, and implementation
  • Develop Pricing modeling pipelines and actively contribute high-quality, production-ready code
  • Support ad-hoc requests from the line of business by understanding, communicating, and managing model risks
  • Create and follow written risk and compliance policies, standards, and procedures for business activities

Qualifications

Required Skills/Experience

  • 6+ years of industry experience leading the design, development, and deployment of pricing models
  • Experience being the technical lead for multiple project teams simultaneously
  • Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews
  • Expert understanding of Python and other common languages and the ability to develop and maintain a flexible code baseย 
  • Require experience building classic regression and ML models for Credit Cards
  • Extensive experience in financial modeling, loss forecasting, utilization, P&L and Cash flow analysis
  • Experience with cloud-based ecosystems, including managing on demand compute resources
  • Experience in an Agile working environment and related project management toolsย 
  • Experience with version control practices and tools (Git, etc.)
  • Excellent written and verbal communication skills

Education

  • Master's Degree or higher in Statistics/Mathematics/Economics

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on site, 1 day remote

Pay Transparency

The salary range for this position is $180,000- $220,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.