Senior Data Scientist- Application Developer

About the position

Cox Communications is seeking a Senior Data Scientist- Application Developer for Network Analytics Reliability Enablement Team (NARE). This role will report to a Manager of Data Science and will be responsible for architecture and development of analytics applications for the Service Health platform. As a Data Science application developer, you act as a cross breed between a data scientist and an application developer; delivering scalable infrastructure which can both run new data science models and also facilitate the onboarding of additional models across the organization. This role will play a central part in the ongoing design and build of data models, core platform infrastructure, data integration layers, graph database algorithms, and AWS development.

Responsibilities

• Plan and document key logic paths, service architecture, and data stores for new use cases
• Review existing services for maintainability, scalability, and opportunities for complexity reduction
• Design with a bias towards observability, reusability, testability, and scale
• Identify or design repeatable patterns for implementing analytics application use cases
• Develop analytics applications using industry best practices for design, development, and testing
• Make recommendations for tools, services, and ways of working
• Work in the AWS ecosystem to architect scalable and maintainable solutions
• Implement quality unit testing strategies, end to end testing, and A/B testing approaches
• Build advanced data models to interpret signal data and network infrastructure
• Solve complex problems using top notch software development skills
• Take part in reviews of own work and lead reviews of colleagues' work
• Perform troubleshooting efforts and investigations when necessary
• Provide ongoing support, monitoring, and maintenance of deployed products

Requirements

• Bachelor's degree in a related discipline and 4 years' experience in a related field, or a master's degree and 2 years' experience, or a Ph.D. and up to 1 year of experience, or 16 years' experience in a related field
• 4+ years of Python, Java, or object-oriented language experience
• 2+ years of AWS experience in a software engineering or data science capacity
• 2 years of experience with NoSQL solutions such as Document DB, Mongo, or Cassandra
• Working experience with specific AWS Services like Lambda, Step function, CloudWatch, Event Bridge, EC2, EMR, SQS, RDS, IAM, or Kubernetes
• Experience with application design and development
• Good communication skills to comprehend and communicate advanced technical topics to non-technical business partners
• Experience with DevOps practices (Git, CI/CD, Docker, Kubernetes) and cloud infrastructure automation
• At least 1 year experience deploying and maintaining data science models and automation in a production capacity
• Self-motivated with a proactive approach to work

Nice-to-haves

• Experience within the telecommunications industry, cable industry, or consulting
• Experience in automated test design and implementation
• Experience in data store selection for large-scale applications (high data volume and/or high read/write)

Benefits

• Flexibility to take as much vacation with pay as deemed consistent with duties and company needs
• Seven paid holidays throughout the calendar year
• Up to 160 hours of paid wellness annually for personal or family wellness
• Additional paid time off for bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave