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Internship R Statistical Programmer Jobs in Columbus, OH

PURPOSE OF JOB The Materials Engineer is key to securing continued production across Asphalt ... Experience with statistics to drive data based decisions and develop customer-inspired test methods ...

PURPOSE OF JOB The Materials Engineer is key to securing continued production across Asphalt ... Experience with statistics to drive data based decisions and develop customer-inspired test methods ...

Experience with statistical programming languages such as R or Python. * Experience developing dashboards and visualizations using business intelligence tools such as Tableau, Power BI, or Looker.

Lead AI-ML Engineer

Westerville, OH

$99K - $130K/yr

... Statistics, Mathematics, or a related field. • 10+ years of hands-on experience in data science, AI, or ML engineering. • Strong proficiency in Python, R, or Scala with experience using data ...

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote ... Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.

... in Python or R Experience programming in SQL, SAS, Java, C+, C++, or Julia General Employee ... statistical concepts such as linear and logistic regression, decision trees, random forests, and ...

... Engineering or Material Science; or MA with +5 industrial experience * Coding skills in R or Python including data preparation, regression, and plotting * Some formal education in statistics ...

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Internship R Statistical Programmer information

See Columbus, OH salary details

$81.6K

$142.3K

$240.5K

How much do internship r statistical programmer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for internship r statistical programmer in Columbus, OH is $142,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,700.00 and $154,500.00 per year, depending on experience, location, and employer.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the key skills and qualifications needed to thrive as an Internship R Statistical Programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.
What are popular job titles related to Internship R Statistical Programmer jobs in Columbus, OH? For Internship R Statistical Programmer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Columbus, OH look for? The top searched job categories for Internship R Statistical Programmer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Internship R Statistical Programmer jobs? Cities near Columbus, OH with the most Internship R Statistical Programmer job openings:
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 9 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.