Data Science Intern (Master's Program)




Chicago, Illinois

Intern

RITM0019815

 

 

Job Description

 

Cars.com is seeking a Data Science intern who is interested in applying new and innovative techniques to solve important business problems.  The intern would work with a team of other data scientists and business stakeholders to analyze data mined from both proprietary and syndicated sources to best position Cars.com's unique in-market audience to advertisers.

The ideal candidate is strongly motivated by identifying and understanding the “why” of consumer interactions on our site, to learn from others and collaborate on projects. The role calls for a broad knowledge of existing data mining techniques and creativity to invent and customize when necessary.

 The ideal candidate will be able to:

  • Utilize quantitative analysis, statistical modeling and machine learning techniques to analyze large data sets.
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  • Independently run data experiments to identify patterns, trends and insights from data.
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  • Interpret and present analysis results for other teams to easily consume.
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Required Skills

 

  • Working towards a Master's of Science in analytics or a related field
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  • Advanced Excel skills
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  • Working knowledge of a statistical package (R, Python, SAS, MATLAB, etc.)
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  • Proficient in SQL
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  • An understanding of Hadoop, preferred experience in Hive
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  • Working knowledge of predictive analytics and data mining techniques including regressions, decision trees, association rules, clustering, etc.
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  • Ability and comfort working independently
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  • Ability to communicate complex concepts in easy to understand terminology
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  • Effective communication skills
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  • Good project management skills with the ability to juggle multiple deadlines
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Required Experience

 

  • Experience solving analytical problems using quantitative approaches, drawing from solid background in mathematics and statistics
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  • Comfortable manipulating and analyzing complex, high-volume, high-velocity data from varying sources
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  • A strong passion for empirical research and answering hard questions with data
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Cars.com, Inc. is a proud equal opportunity employer. We are a drug free, EEO employer committed to a diverse workforce. We will consider all qualified candidates regardless of race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity, family responsibilities, disability, education, political affiliation, veteran status or genetic information.