Senior Data Science Application Developer

Cox Enterprises, LLC-posted 10 months ago
$99,000 - $165,000/Yr
Full-time • Mid Level
Atlanta, GA
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Cox Communications is seeking a Senior Data Scientist 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 the marrying of the world of data science and application development, 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.

  • 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.
  • 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.
  • BA/BS degree and 4 years of software engineering experience, OR MS degree and 2 years of software engineering experience.
  • 4 years of Python, Java, or C# experience.
  • 1 year of Python development experience.
  • At least 1 year experience deploying and maintaining data science models and automation in a production capacity.
  • 2 years of cloud experience (AWS, GCP, Azure) in a software engineering or data science capacity.
  • Knowledge and experience with specific AWS Services like S3, Step Functions, Lambda, SNS, SQS, DynamoDB, DocumentDB, MSK, EKS, ElastiCache, Athena, OpenSearch, CloudWatch, Neptune, RDS, SageMaker, EC2, EMR, EventBridge.
  • 1 year experience with big data systems like Hive, Athena, or Big Query.
  • Understanding of containerization.
  • Proficient with SQL using one or more query engines such as Presto, Trino, PostgreSQL.
  • Experience with analytics application design and development.
  • Good communication skills.
  • Experience with source code version control software, like Git or Bitbucket, and CICD pipelines like Jenkins.
  • Experience with in-memory storage solutions like DynamoDB or Redis.
  • Experience performing basic exploratory data analysis on data sets using Python.
  • High-level understanding of basic data science ideas such as data cleaning, anomaly detection, clustering, and regression.
  • Experience working on productionalized code.
  • Self-motivated with a proactive approach to work.
  • 2+ years of work experience utilizing AWS Services.
  • Experience with Docker & Kubernetes.
  • 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.
  • Experience developing using version control with a team in a professional context.
  • Experience with Kafka.
  • Experience with Terraform.
  • Experience with Redis.
  • Experience with Gremlin or other graph query languages.
  • Experience creating high-level and process diagrams with tools such as Lucidchart.
  • Experience developing using Agile methodology.
  • Professional experience implementing data science models.
  • Understanding of intermediate data science concepts such as centrality measures.
  • Demonstrated ability to manage and prioritize multiple concurrent workstreams.
  • Flexibility to take as much vacation with pay as they deem consistent with their duties.
  • Seven paid holidays throughout the calendar year.
  • Up to 160 hours of paid wellness annually for their own wellness or that of family members.
  • Additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
  • Health care insurance (medical, dental, vision).
  • Retirement planning (401(k)).
  • Paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).
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