Cox Communications is looking for a Lead Data Scientist to join the Data Science team within the Planning, Execution, and Analytics Organization. This role will be responsible for both: advanced analytics solutions design and implementations; and for managing third-party data scientist. The Lead Data Scientist is required to be a proven advanced analytics developer to drive solution delivery at scale.
What You'll Do

• Design, implement, test, prototype, and deploy ML (machine learning), DP (deep learning), AI (artificial intelligence), and NLP (natural language processing) applications to produce value from Cox Communications' unstructured and structured data assets.
• Guide junior resources in the Data Science team.
• Guide contractors and third-party data scientist during the machine learning modeling process.
• Identify opportunities for automation, knowledge discovery, decision-making, insights, optimization, and new capabilities.
• Develop frameworks and apply best practices to mature analytics solutions from proof of concept to prototype to production.
• Prepare documentation, reports, and visualizations
• Evaluate new technologies, tools, and data.
• 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 a related discipline and 6 years' experience in a related field. (ML, AI, NLP, research, predictive analytics, or similar area) The right candidate could also have a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 year of experience
• Strong programming skills and ability to utilize a variety of data/analytic software/languages/tools; e.g., Spark (ML, Mllib, Spark SQL), R (caret, ggplot2), Python (pandas, numpy, scipy, scikit-learn), Scala, Java, C++, Hive, SQL, Tableau, etc.
• Expertise in at least one of the machine learning and deep learning frameworks including TensorFlow, Keras, Caffe, MXNet, Spark. Experience with writing complex programs and building custom algorithms in these and/or other environments.
• Deep knowledge of the mathematical and computational concepts behind advanced analytics algorithms
• Experience using cloud computing to build analytics applications and enterprise level AI/ML solutions.
• Strong communication skills. The ability to successfully comprehend and communicate advanced analytics artifacts, business insights, and resulting implications to non-technical business partners. Ability to work in a diverse team.
• Have an inquisitee and curious mind set to help drive business analytics

Preferred

• Graduate degree in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, Operations Research, Analytics, Engineering or closely related field. Ph.D. strongly preferred.
• Practical experience applying advanced ML, DP, and AI approaches to mass transaction reduction and customer experience optimization.
• Experience within telecommunications, cable industry, high tech, or consulting.
• Experience in data visualization solutions and data visualization tools.
• 3+years' experience programming in Python and PySpark.
• Working experience on Hadoop clusters and cloud environments

USD 116,200.00 - 193,600.00 per year
About Cox Communications
Cox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications 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.
Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.