Statistics Intern

Norwalk, Connecticut, United States | Analytics | Contract


After Inc., a leading provider of warranty/marketing analytics and technology solutions, is seeking a Statistics Intern to join our team. 

About This Position 

When you join After Inc. you are joining a firm that brings together marketing, strategy, analytics and technology in a unique package to drive increased profits for our clients.  The Statistics Intern will work with our advanced analytics group to deliver statistical analyses and modeling results to our clients.

Interns are required to work between 40 hours per week during the summer. While school is in session, interns may optionally work 20 hours per week.  After, Inc. offers a competitive salary based on experience.  


To perform this job successfully the candidate must be able to perform each duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The requirements listed below are representative of the knowledge, skill, and/or ability required: 

    • Current graduate student working towards a Masters or PhD in Statistics, Computer Science, Applied Math, Econometrics or related field.  Recent graduates are encouraged to apply as well.
    • A deep understanding of various statistical methods, such as linear and logistic regression, time series, design of experiments, etc.  Experience with survival analysis (i.e. censored data) is preferred.
    • Statistical programming experience: SAS programming and ability to use base SAS and SQL to deal with various analytical and data processing tasks, and/or; R programming and ability to use R statistical, reporting and database packages to deal with various analytical and data processing tasks
    • Experience working with large datasets and complex relational data models
    • Effective oral and written communication skills
    • Experience in data mining and direct marketing campaigns is a plus 

Role and Responsibilities 

The Statistics Intern will assist the analytics staff and will have a number of important responsibilities, including: 

    • Interface with various database platforms to pull data and link them logically; know how to deal with the inherent structure of the data.
    • Use SAS and/or R to perform standard statistical analysis, profiling, reporting and model implementation.
    • Build statistical models, such as linear or logistic regression, survival and other parametric or non-parametric models that predict various business metrics.
    • Summarize and present results for non-technical client audience.
    • Work with senior Analytics personnel to develop new methods for statistical analysis and visualization.

Candidates not local to the area must be willing to relocate. 

How to Apply 

Apply at Please include a brief cover letter outlining your qualifications for this position. In your cover letter, describe a recent project, your role, and what value you created on the project.


No recruiters, please.