1

Math Computer Science Jobs in Columbus, OH (NOW HIRING)

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or equivalent experience * 4+ years of experience applying advanced analytics to solve business problems ...

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 role or PhD in a ...

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or equivalent experience * 4+ years of experience applying advanced analytics to solve business problems ...

Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree * or in ...

Master''s degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree or in lieu ...

Required : • Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM ...

Emphasizes mathematical reasoning and connects precalculus to real-world optimization, physics, and computer science applications. * Curriculum Awareness & Adaptive Instruction: Familiar with ...

next page

Showing results 1-20

Math Computer Science information

See Columbus, OH salary details

$21.7K

$56.8K

$91.3K

How much do math computer science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for math computer science in Columbus, OH is $56,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $67,600.00 per year, depending on experience, location, and employer.

What is the difference between Math Computer Science vs Data Scientist?

AspectMath Computer ScienceData Scientist
Required CredentialsDegree in Math, Computer Science, or related fieldsDegree in Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, tech firms, analytics teams
Employer & Industry UsageUniversities, research institutions, tech companiesCorporations, startups, consulting firms
Common Search & Comparison IntentUnderstanding technical roles, skills, and educationData analysis, modeling, and business insights

Math Computer Science focuses on theoretical and applied aspects of mathematics and computer science, often emphasizing algorithms, proofs, and computational theory. Data Scientists apply statistical and programming skills to analyze data, generate insights, and support decision-making. While both roles require strong analytical skills and programming knowledge, Math Computer Science leans more toward research and development, whereas Data Science is more business and application-oriented.

What are the key skills and qualifications needed to thrive as a Math Computer Scientist, and why are they important?

To thrive as a Math Computer Scientist, you need a strong background in mathematics, algorithms, programming, and typically a degree in computer science, mathematics, or a related field. Proficiency in programming languages such as Python, C++, or Java, and experience with mathematical software like MATLAB or Mathematica, are commonly required. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating on complex projects and presenting findings. These skills are important to design efficient algorithms, solve computational problems, and contribute effectively to research and development in technology-driven environments.

How do professionals in Math Computer Science typically collaborate with other departments within an organization?

Professionals in Math Computer Science often work closely with teams such as data science, engineering, finance, and product development. Their strong analytical and programming skills enable them to design algorithms, optimize processes, and interpret data, which are essential for cross-functional projects. Regular collaboration may involve participating in meetings, contributing to code reviews, and providing mathematical insights to support decision-making. Building effective communication skills is important, as explaining complex concepts to non-technical colleagues is a common part of the role.

What are Math Computer Science jobs?

Math Computer Science jobs are roles that blend mathematics and computer science skills to solve complex problems, often involving algorithms, data analysis, software development, and mathematical modeling. Professionals in this field may work as data scientists, software engineers, cryptographers, quantitative analysts, or researchers. These jobs typically require strong analytical thinking, proficiency in programming languages, and a solid understanding of mathematical concepts. Industries such as technology, finance, healthcare, and academia frequently hire people with this background. These roles often involve designing efficient algorithms, analyzing large datasets, and creating models to predict outcomes or optimize processes.
Infographic showing various Math Computer Science job openings in Columbus, OH as of May 2026, with employment types broken down into 62% Full Time, and 38% Part Time. Highlights an 49% In-person, 13% Hybrid, and 38% Remote job distribution, with an average salary of $56,831 per year, or $27.3 per hour.
Principal Data Scientist- Mortgage Sales & Strategy Analytics

Principal Data Scientist- Mortgage Sales & Strategy Analytics

Citizens

Columbus, OH • Hybrid

$157K - $197K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Citizens' Enterprise Data & Analytics (ED&A) organization is seeking an experienced Data Scientist to provide analytics leadership related to Mortgage sales and strategy with a focus on proactively retaining existing customers and acquiring new customers via application of data/programming/models/analytics to support sales outreach and optimization. Initial focus is on driving growth through the Enterprise Smart Leads operation that centralizes sales lead generation with a coordinated approach to customer outreach. The Mortgage Sales & Strategy Principal Data Scientist will be responsible for generating, distributing, assessing and optimizing data-driven sales leads provided to virtual and retail Mortgage Loan Officers to enable proactive customer outreach.  Skills required include a range of analytical functions (computer and statistical programming, data management, data exploration/visualization, feature engineering, statistical analysis) and business functions (stakeholder engagement and communication, strategy development, analyzing/presenting results, process improvement).

The optimal candidate will possess strong programming, analytical, and communication skills, and demonstrate ability to provide analytics leadership with business stakeholders and work well in a team environment.  As the Principal Data Scientist, you will work independently as the primary point of contact for Mortgage business partners as well as working within the broader Enterprise Smart Leads team at the direction of a Data Science Manager.  This person will develop expertise on all Mortgage sales-related data; develop, execute, and maintain programs to generate customized, data-driven Mortgage-focused leads; develop/implement/present analyses aimed at optimizing performance; and lead reporting and communications with management regarding performance and strategy.  Given the focus, knowledge of the home lending area and experience with home lending data is a plus, but is not required.  Experience in the financial services industry is preferred.

Smart Leads operates as an Agile team within the Enterprise Data and Analytics organization, working closely with other teams involved in various customer communications. 

In this role, you will:

  • Conduct customer segmentation analyses and scoping to support Mortgage lead strategy development, assessment and revision. 
  • Apply advanced analytics to engineer customized, data driven, timely sales leads focused on Mortgage retention and acquisition 
  • Apply advanced analytics to continually optimize lead distribution across Virtual/Retail loan officers.
  • Apply advanced analytics to maximize production via provision of an optimal number and mix of leads across channels.
  • Apply advanced analytics to develop and optimize lead scoring/prioritization within an overall sales lead strategy framework.
  • Undertake Mortgage lead program investigation and evaluation on an ongoing basis.  Prepare performance updates and special analyses.
  • Regularly engage with Mortgage business partners to remain tightly aligned on shifting business strategies and discuss application of data and analytics to Mortgage strategy and sales.
  • Oversee ongoing execution and generation of data driven Mortgage sales leads.
  • Maintain and improve processes/programs for generating and delivering sales leads and other related information flows 
  • Manage and analyze call disposition data to optimize lead selection and assess performance 
  • Document and communicate analytic insights for both technical and non-technical audiences, often within an Agile working structure
  • Develop and implement experimental designs to meet business objectives
  • Continuously innovate through exploration of new techniques, platforms and data sources
  • Automate various standard procedures including data flows, monitoring, & quality control 

Technical Qualifications

  • Master's (or beyond) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Data Science/Analytics, Economics, Finance or related fields
  • Strong programming skills and ability to utilize a variety of data/analytic software languages/tools (e.g., SQL, Python, SAS, R, etc.)
  • Strong written and verbal communication skills required with an ability to communicate analytic results, business insights and resulting business implications to non-technical business partners
  • Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and information technology 
  • Ability to lead productive engagements with business partners from an analytic perspective
  • 4-7 years of experience in Analytics particularly with Financial Services applications

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 $157,000 - $197,000 per year, plus an opportunity to earn additional incentive earnings. Actual pay is based on various factors including but not limited to the budget, 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.