Senior Data Scientist

• Candidate must be located in the Eastern or Central time zones.

**This position is not eligible for sponsorship.

The Senior Data Scientist is responsible for leading the development of advanced analytics models to solve our customers' problems through innovative products and services; and inform internal business operations and strategy. They will work closely with operations, product, engineering, and our business stakeholders as the subject matter expert on the application mathematical modeling across our family of leading automotive brands. The scope of work includes the data analysis and preparation, model development, and the presentation of results and recommendations to stakeholders.

Primary Responsibilities:

• Work independently on all phases of an analytics project including meeting with stakeholders, formulation, research, development, implementation, testing and maintenance.
• Assist with problem formulation and the selection of an appropriate methodology.
• Hold peer reviews with Data Scientists across the organization
• Present findings and recommendations to stakeholders.
• Maintain an awareness of trends in the field; research and suggest new methodologies.
  

Minimum Qualifications:

• Bachelor's degree in a related discipline and 2 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and up to 2 years' experience; or 6 years' experience in a related field
• Strong problem-solving skills
• A drive to learn and master new technologies and techniques.
• Proven experience applying descriptive, predictive, and prescriptive statistics to real-world problems.
• Experience in Python and/or R programming language is required.
• Experience querying relational databases using SQL.
• Ability to develop, deploy and maintain production-ready code.
• The ability to present findings clearly and concisely to team members and business stakeholders
  

Preferred Qualifications:

• Degree in Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, or related quantitative field.
• Experience working with Amazon Web Services (AWS) and Snowflake.
• Generalized linear models, time series models, forecasting techniques, cluster analysis, and principle component analysis.
• Linear and mixed integer optimization, discrete event simulation, heuristic methods, and network flow analysis
• Machine Learning: Selecting, tuning, and implementing a variety of common supervised and unsupervised models, including decision trees, nearest neighbor models, and neural nets; and several standard ML libraries, such as scikit-learn, TensorFlow, or similar
• Experience creating compelling data visualizations strongly preferred.
• Requires physical ability and mental acuity to execute the duties of the position successfully within required timeframes in order to meet business requirements.
  

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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.

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