Data Scientist - 2020 Summer Intern

Cox Automotive - Atlanta, GA

Cox Automotive, a subsidiary of Cox Enterprises, is seeking a Data Scientist - 2020 Summer Intern to join our talented team in Atlanta, GA. Data Scientists gather and analyze data to solve highly-complex business problems, evaluate scenarios to make predictions on future outcomes, and provide prescriptive solutions that support decision-making.

As a Data Science Intern, you will work with our data scientists to explore, analyze, and prepare data; develop analytical models; and present results and recommendations to our leadership and stakeholders.

Cox Enterprises is a family-run operation that began nearly 120 years ago. As part of this great family business, we treat our team members and clients like they’re just that — family. This atmosphere has been instrumental to our success and has shaped our willingness to fuel epic innovation, drive unprecedented growth and deliver the mind-blowing, needle-moving, connected experience we promise.

Cox Automotive is transforming the way the world buys, sells and owns cars. Come join the transformation!

Your Role:
Assist in building the Vehicle Equity Position data module in VMA
Working with data scientists in VMA team to
Gather and validate MSRP data for each vehicle YMMS
Convert aggregated wholesale indexes as % of MSRP
Extract the “Contract Residuals” for each YMMS from AIS incentive data
Comparing the actual wholesale and contract residuals to get Equity position for each YMMS
Assist in equity data validation and discovery analyses using the data
Develop a “Risk and Opportunity” analyzing framework and presentation template for OEMs or large portfolio clients. Vehicle Market Analytics (VMA) is a large data package encompassing large amount of pricing, supply and demand of wholesale and retail market data. We would like to establish a data analyzing framework using VMA for OEM clients or large portfolio clients to be able to quickly find any risk and opportunity areas periodically to drive the product adoption and increasing consultative capability to clients from Cox automotive.

Qualifications:Skills & Experience (minimum):
Completed 2 years of college and is a rising junior or senior.
5 -7 years of experience
Strong problem-solving skills
A drive to learn and master new technologies and techniques
Ability to apply descriptive and predictive statistics and statistical inference to real-world problems
Ability to present findings clearly and concisely to team members and data science leadership.
Major in Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, or related quantitative field

What We Look For (preferred):
Students who are Seniors or Graduate level
Familiarity with statistical programming, e.g. SAS, R, Python
Experience querying relational databases using SQL
An understanding of standard statistical techniques, i.e., generalized linear models, time series, and forecasting
Familiarity with common supervised and unsupervised ML models, i.e., decision trees, nearest neighbor, and neural nets
Tableau experience

About Cox Automotive

Cox Automotive Inc. makes buying, selling and owning cars easier for everyone, while also enabling mobility services. The global company’s 34,000-plus team members and family of brands, including Autotrader®, Clutch Technologies,®, Dealertrack®, Kelley Blue Book®, Manheim®, NextGear Capital®, VinSolutions®, vAuto® and Xtime®, are passionate about helping millions of car shoppers, tens of thousands of auto dealer clients across five continents and many others throughout the automotive industry thrive for generations to come. Cox Automotive is a subsidiary of Cox Enterprises Inc., a privately-owned, Atlanta-based company with revenues exceeding $20 billion.

Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual’s age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.

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