What You’ll Do  

• Identify, research, interpret, catalog, source, manipulate, and enrich Cox Communications' structured and unstructured data assets to facilitate effective analytics.

• Use foundational data science methodologies to identify relationships/drivers of key metrics to improve customer experience, network performance, proactive labor routing, quality of service or operating cost.

• Build and maintain processes and functionalities for analytics solution needs.

• Prepare documentation and visualizations.

• Keep up to date on new technologies, standards, and practices

What’s In It For You  

At Cox, we reward your hard work with meaningful benefits. 

First, we offer a highly competitive compensation package, 401(k) with a generous company match, comprehensive healthcare, life, and disability benefits, plus numerous other benefits, including adoption assistance, pet insurance, and discounts on travel and cars! 

We value people more than technology. That means you’ll work within a culture and with a team that values your leadership, your experience, your contributions, and you – yes, you – as a person. We believe recognition is important, and Cox strives to celebrate those who help make us successful every day.  We also encourage diversity and support inclusion; we want you to do you and feel comfortable doing so. 

We also offer boundless opportunities for growth; you can sharpen your skills, learn a new talent, join a mentoring program, even earn an advanced degree. You’ll find the potential for lateral or upward career growth within the Cox family businesses, including the innovative startups in transportation mobility, clean tech and more. 

Who You Are  

Minimum  

• Bachelor’s degree in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, Analytics, Engineering, or related technical discipline and 2 years of related experience OR

• MS degree (Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, Analytics, Engineering or related technical discipline) and 2 years of related experience OR

• 6 years’ experience in Data Science, Machine Learning, Data Engineering, Data Analytics, Statistical Modeling, Software Engineering, Business Intelligence

• Exposure to SQL and Python, or functionally similar programming languages.

• Strong programming skills and ability to utilize a variety of software/languages/tools

• Familiarity with database technology such as Oracle, Hadoop/EMR, etc.  Experience in cloud-based data environments is preferred.

• Familiarity with TensorFlow, Keras, Caffe, MXNet, Spark MLlib.

• Familiarity with Tableau, or functionally similar visualization tools.

• Understanding of the mathematical and computational concepts behind advanced analytics algorithms and/or statistical analysis.

• Strong communication skills. Ability to successfully comprehend and communicate business insights. Ability to work in a diverse team.