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Internship R Statistical Programmer Jobs in Chicago, IL

Zoro

Senior Analyst, Marketing Science

Chicago, IL

$105.60K - $130.30K/yr

Expert proficiency in SQL and statistical programming languages (R or Python) for data manipulation, statistical analysis, and model building (e.g., Bayesian methods). Demonstrated proficiency with ...

SynergisticIT

Data Analyst (Entry Level)

Northbrook, IL · On-site

Using R/Python programming language for performing statistical analysis specifically price sensitivity analysis and predictive modelling/machine learning to determine how different input costs and ...

Agoda

Senior Product Manager (Japan)

Chicago, IL · On-site

$130.40K - $172.20K/yr

Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline) • ... Python, R, or equivalent Company : Agoda is a digital travel platform that provides access to ...

Owens Corning

Process Engineer R & D

West Chicago, IL

$78K - $100K/yr

Process Engineer R & D Location(s): West Chicago, IL, US, 60185 #job-location.job-location-inline ... Use statistical and process data to drive decisions-not assumptions Manufacturing & Plant Interface

DEO TEK, Inc

Quality Engineer

Carpentersville, IL · On-site

$95K - $105K/yr

Quality Engineer Blue Collar Carpentersville, IL. 60110 6:00 a.m. to 2:30 p.m. $95,000.00 - $105 ... Statistics: capability studies, Cpk/Ppk, DOE, gauge R&R, SPC, sampling plans and ability to ...

Avanade

Azure AI Engineer, Consultant

Chicago, IL · On-site

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc., and tools like ...

TransUnion

Lead Data Scientist

Chicago, IL · On-site

$100K - $160K/yr

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

Transunion

Lead Data Scientist

Chicago, IL

$100K - $160K/yr

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

Avanade

Azure AI Engineer, Consultant

Chicago, IL · On-site

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and ... Highly proficient with two or more languages, such as Python, PySpark, R, SQL, etc., and tools like ...

TransUnion

Lead Data Scientist

Chicago, IL

$100K - $160K/yr

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

Trans Union LLC

Lead Data Scientist

Chicago, IL

$100K - $160K/yr

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

TransUnion

Lead Data Scientist

Chicago, IL · On-site

$100K - $160K/yr

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

Tempus

Director, Biostatistics

Chicago, IL · On-site

$190K - $260K/yr

... Statistical Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and clinical experiment methodology. * Computational skills using R, and/or SAS ...

Tempus

Director, Biostatistics

Chicago, IL

$190K - $260K/yr

... Statistical Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and clinical experiment methodology. * Computational skills using R, and/or SAS ...

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Internship R Statistical Programmer information

See Chicago, IL salary details

$87K

$151.7K

$256.5K

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

As of May 28, 2026, the average yearly pay for internship r statistical programmer in Chicago, IL is $151,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $164,800.00 per year, depending on experience, location, and employer.

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 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 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 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 most commonly searched types of R Statistical Programmer jobs in Chicago, IL? The most popular types of R Statistical Programmer jobs in Chicago, IL are:
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What job categories do people searching Internship R Statistical Programmer jobs in Chicago, IL look for? The top searched job categories for Internship R Statistical Programmer jobs in Chicago, IL are:
Internship R Statistical Programmer jobs near you
Senior Analyst, Marketing Science

Senior Analyst, Marketing Science

Zoro

Chicago, IL

$105.60K - $130.30K/yr

Other

Posted 24 days ago

Job description

Primary Function: 

The Senior Analyst, Marketing Science will use customer and marketing data to generate actionable insights and strategically drive Zoro's growth. This includes designing and running advanced analytics (MMM, MTA, A/B testing, especially geo/user-based) to understand channel performance and increase marketing effectiveness. The goal is to drive data-driven, bottom-up recommendations for optimizing marketing spend and increasing revenue per customer.

Duties and Responsibilities: 

  • Design, build, and maintain advanced marketing measurement strategies, primarily focusing on Media Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to guide marketing channel investment and strategy.
  • Lead the planning, execution, and measurement of incrementality testing (A/B), including specialized methods like geo-based and user-based testing, and optimization of the testing process
  • Provide analytic supports for key business activities including strategic initiatives, campaigns design, media mix, attribution and channel performance strategy
  • Leading the end to end analytical process: receive and evaluate business partners' requests, develop analytical plan and methodology, confirm analytical plans with business partners, implement data analyses, and provide recommendations.
  • Provide insights to business on initiatives in the areas of marketing channel performance, incrementality and measurement of AB testing, customer acquisition, activation, engagement, and retention and channel investment optimization
  • Responsible for managing advanced analytical marketing projects and collaborating with internal business partners to support strategy development and tactic planning
  • Lead monthly review meetings to share insight

Qualifications: 

  • 3+ years of progressive experience in marketing analytics, advanced statistical modeling, and experimental design. Required experience includes designing and deploying Media Mix Modeling (MMM) and/or Multi-Touch Attribution (MTA) in an Internet, e-commerce, or consumer-focused environment.
  • Proven experience designing, executing, and measuring causal inference studies, including geo-based testing and quasi-experimental methods (e.g., Difference-in-Differences, Synthetic Control) for marketing incrementality.
  • Prior experience leveraging machine learning and statistical analysis to translate large datasets into actionable business recommendations for executive decision-making.
  • Expert proficiency in SQL and statistical programming languages (R or Python) for data manipulation, statistical analysis, and model building (e.g., Bayesian methods). Demonstrated proficiency with BI tools (Looker, Tableau, Google Data Studio, etc.).
  • Strong communication skills in order to collaborate effectively with business stakeholders. Must be able to interact cross-functionally and drive both business and technical discussions 
  • Bachelor's degree in quantitative fields such as Statistics, Engineering, Operational Research, or Economics
  • Capable of thinking through complex business problems and solving them by analyzing large amounts of data. 
  • Proficiency in Microsoft Office or Google Workspace: spreadsheet and presentation creation 
  • Strong experience working with cloud data warehouses (BigQuery) and web analytics platforms (e.g., Google Analytics) to access, transform, and prepare data for modeling.

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