What You’ll Do  

• Lead initiatives to understand, contextualize, and solve the most challenging problems in Cox’s analytical portfolio

• Understand business problems and design end to end analytics use cases. Partner with business tech leads to implement reusable and robust solutions

• Apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype and build the next generation analytics engine and services

• Partner with data science leadership and engagement teams to present solutions and insights to business

• Help maintain and track project goals and roadmaps. Collaborate with software and data engineers to implement and deploy scalable solutions

• Develop complex models and algorithms that drive innovation throughout the organization This may include initiatives in understanding our Products, Operations, Footprint, Supply Chain

• Mentor junior team members and provides constructive critique on specific projects

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 computer science, statistics, economics, mathematics, operations research or related technical discipline and 6 years of related experience OR MS degree (computer science, statistics, economics, mathematics, operations research or related technical discipline) and 4 years of related experience OR PH.D with 1 year of related experience.

• An advanced understanding of supervised and unsupervised learning techniques and proficiency in one or more areas in Deep Learning, NLP, Graph Neural Nets.

• Excellent statistical skills grounded in a thorough understanding of testing and frequentist/Bayesian methodologies

• Able to work with big-data in the cloud. Familiar with spark/sql, pyspark, SageMaker, Tensorflow, Docker, R

• Excellent data visualization skills: able to determine the appropriate visualization and create compelling stories with data

• Strong business acumen and judgement combined with excellent verbal and written communication that can be used to drive our strategy throughout all levels of the organization

• Able to demonstrate organizational empathy while delivering results. Ability to build relationships quickly, collaborate and lead with purpose