Lead Data Scientist - Analytics App Dev

$117,300 - $195,500/Yr

Cox Enterprises, LLC - Sandy Springs, GA

Full-time - Manager

Sandy Springs, GA

Personal and Laundry Services

About the position

Cox Communications is seeking a Lead Data Scientist for the Network Analytics Applications team. This role is pivotal in the architecture and development of analytics applications that support automated decision-making and process support for the Network Operations Center (NOC) and Network Technicians. The Lead Data Scientist will be responsible for designing and developing key decision-making analytics applications that integrate into both customer-facing and employee-facing platforms, setting the vision for the team's analytical applications and visualization toolsets.

Responsibilities

• Identify or design repeatable patterns for implementing analytics application use cases.
• 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.
• Design test plans with a preference for automation where possible.
• Implement feedback from boundary partners and internal stakeholders in internal applications and reporting systems.
• 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.
• Design and execute quality unit testing strategies, end-to-end testing, and A/B testing approaches.
• Own and maintain the release schedule.
• Identify and recommend best-in-class developer platform tools to enable the analytics application team's ability to deliver high-quality analytics solutions.

Requirements

• BA/BS degree and 6 years of related experience, OR MS degree and 2 years of related experience, OR Ph.D and 1 year of related experience in cloud infrastructure and platforms.
• Strong programming skills in languages such as Python, SQL, Docker, Java, etc.
• 3 years of AWS experience in a data science, analytics, or analytics application design capacity.
• Experience with analytics application design and development.
• Good communication skills to convey advanced technical topics to non-technical business partners.
• 3 years of experience with source code version control software like Git or Bitbucket, and CICD pipelines like Jenkins.
• Experience designing and implementing large-scale, high data volume or user volume solutions in cloud platforms such as Google, Microsoft, or Amazon.

Nice-to-haves

• Degree in computer science, engineering or closely related field.
• Knowledge and experience with specific AWS Services like Lambda, Step function, CloudWatch, EventBridge, EC2, EMR, RedShift, SQS, RDS, IAM, API Gateway, or Kubernetes.
• Experience within the telecommunications or cable industry or consulting.
• Experience in automated test design and implementation.
• Experience in data store selection for large-scale applications.
• Experience with developer tools and automation of developer tooling.
• Experience with the AWS Well Architected Framework.

Benefits

• Flexible vacation policy allowing employees to take as much vacation as they deem consistent with their duties.
• Seven paid holidays throughout the year.
• Up to 160 hours of paid wellness annually for personal or family wellness.
• Additional paid time off for bereavement, voting, jury duty, volunteering, military leave, parental leave, and COVID-19 vaccination leave.
• Health care insurance (medical, dental, vision).
• Retirement planning (401(k)).
• Paid days off including sick leave and parental leave.