Data Science Intern

Key Skills

Analytical and Problem solving, Bayesian networks, Cloud computing, Machine learning techniques, Predictive analytics, Python Programming, R Programming, SQL, Statistical modeling

Job Description

At Cox Automotive, we offer the chance to take an important role in the digital revolution of the automotive industry. You’ll be immersed in an environment that values your teamwork and creative problem-solving techniques while encouraging you to continue to learn new skills and technologies. With a live market view and powerful inventory management tools, vAuto provides the software and vision our clients need to achieve success in any market.

Data scientists at vAuto are part of an energetic team that research world-class solutions which give our dealers the competitive advantage in the ever-evolving automotive marketplace. The team leads the development of advanced analytical models to solve our customers’ problems through innovative products and services as well as to inform internal business operations and strategy. They work closely with product, engineering, and our business stakeholders as the subject matter expert on the application mathematical modeling.

Risk-taking is encouraged here and we reward great results. Collaboration and support are woven into the fabric of everything we do; from 24-hour Hackathons and brain-storming sessions to grooming reviews, you’ll be immersed in an environment that encourages bringing fresh ideas to the table with an innovative mindset.

Throughout the summer, students will have the opportunity to complete challenging, business-critical projects alongside some of the most talented individuals in the automotive technology industry. The program will allow students to enhance their leadership skills through exposure to existing Cox leaders and the delivery and presentation of their research projects. We are looking for exceptionally ambitious, communicative, hands-on individuals who have the passion and skills to take our product offerings to the next level.

As a Data Science Intern, you will work in a collaborative team environment that encourages you to think critically and creatively about the scientific process. You will learn to apply your knowledge of modern statistical and machine learning techniques to analyze real-world data and provide actionable insights. You will aspire to use new technologies and challenge yourself to develop innovative solutions. You will work alongside data scientists, analysts, and product managers on a team where collaborative mentoring and solutioning is regularly practiced.

Projects/Assignments may include but are not limited to the following :

• Work in a collaborative environment, partnering with other scientists, engineers and product managers of all backgrounds and disciplines to bring analytical rigor and statistical/quantitative methods to the challenges of pricing and inventory management.
• Gather, clean, prepare, and analyze real-world data.
• Use statistical concepts and quantitative methods to analyze data and provide insights.
• Develop code to execute your solution.
• Utilize data visualization tools to synthesize and communicate your findings to peers and data science leadership.
• Collaborate with team members on best practices, code reviews, internal tools, and process improvements.
• Explore trends in the field and research and suggest new methodologies that could be a fit for the organization.

QUALIFICATIONS

Minimum

• Currently enrolled in fields of study relevant to role: Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, or related quantitative field.
• Internship positions are located in Atlanta, GA; Cox Automotive does not provide a housing allowance. 

Preferred

• Strong problem-solving skills using mathematics and probabilistic reasoning.
• Experience applying and communicating descriptive, predictive, and prescriptive statistics.
• Ability to translate a business statement into a mathematical expression that can be tested and used for modeling and/or optimization purposes.
• Understanding of one or more of the following:
• Frequentist and Bayesian Statistics
• Machine Learning
• Operations Research
• Ability to retrieve and organize data using relational databases (SQL)
• Experience in general programming language (R, Python, etc.) and data science packages
• Familiarity with cloud compute, storage, and utilities
• Familiarity with version control technologies

About Cox Automotive

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What’s more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! 

About Cox

Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses – which includes Cox Automotive and Cox Communications – is forging a better future for us all. Ready to make your mark? Join us today! 

Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page.

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. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.