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Form of workChicago Transit Authority is the second largest transit system in the country! Our college internship program offers summer and year-long internships that provide students with valuable work experience, professional development, and mentorship. Students receive exposure to the discipline of the workplace and are guided by subject matter experts who assist them in acquiring the skills, knowledge, and experience needed to perform in today's technically demanding careers. Interns at CTA work in a range of departments across the authority.
Our internships are project-based; therefore, the skills that we seek vary based on the needs of the projects during each term. All majors are welcome to apply, but please see education experience/requirements for specifics about what disciplines each internship project is seeking.
Internships are part-time (15 hours a week) during the school year and full-time (40 hours a week) during the summer.
In this role within the Chief Administrative Officer department's Asset Management unit, interns will:
- Assist in the creation of a CTA-specific risk model for each asset type.
- Gather data from various databases and aggregate data into a training dataset for the model.
- Perform testing of various potential statistical models.
Primary work location for this role: CTA Headquarters (567 W. Lake Street, Chicago Illinois 60661)
Educational Experience/Requirements:
- Preferred Major(s): Statistics, Data Analytics, Computer Science, Mathematics
- Preferred Level of Education: College junior and above
- Required enrollment status: Full-time (as defined by your academic institution) in a degree program at an accredited college or university
Physical Requirements:
- The demands associated with the normal office environment
- Must be able to comply with office policy to work on-site twice per week
- Light physical activity, including walking outdoors and climbing stairs
Knowledge, Skills and Abilities:
- Strong Microsoft Office and computer skills
- Good oral and written communication skills
- Good analytical and critical thinking skills
- Good organizational skills with attention to detail
- Good project management skills
- Experience with SQL, Python, R, statistical analytics, and hypothesis testing
