Sr Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Cox, we’re forward-thinking innovators who put people first. Our award-winning workplace culture is centered on inclusion and kindness, and we’re looking for people to join our mission to be a force for good in the world. Come build a better future with us across automotive, communications, the environment and more.

We want to do everything we can to keep our employees safe and healthy. Therefore, where permitted by applicable law, you will need to be fully vaccinated against COVID-19 to be considered for this U.S.-based job. Reasonable accommodations for medical and religious objections will of course be considered.

Keep reading to learn more about this opportunity to join the Cox family of businesses.

Cox Communications is looking for a Senior Data Scientist to join the Data Science team within the Analytics Center of Excellence. This role will be responsible for advanced analytics solutions design and implementations. The Senior Data Scientist is required to be a proven advanced analytics developer to drive solution delivery at scale.

Responsibilities:

• 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
• 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

Qualifications:

Minimum:

• 3+ years of experience in advanced analytics role in ML, AI, NLP, research, predictive analytics or similar area
• 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, SAS, 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

 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