Senior Data Scientist
| Company | Cox |
|---|---|
| Location | Atlanta, GA, USA |
| Salary | $99000 – $165000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in a related field with 4+ years of experience, or an equivalent combination of education and experience (e.g., Master’s degree and 2 years of experience, Ph.D. and up to 1 year of experience, or 16 years of experience in a related field)
- 4+ years of experience with Python
- 2+ years of experience with cloud technologies in software engineering or data science
- 1+ year of experience working with big data systems (e.g., Hive, Athena, Big Query)
- Strong programming skills with proficiency in tools like SQL, Python (pandas, numpy, scipy, scikit-learn), PySpark, Tableau, etc.
- Experience with AWS services such as Lambda, Step Functions, and Athena
- Excellent data visualization skills and the ability to craft compelling stories with data (Tableau preferred)
- Familiarity with source code version control software (e.g., Git, Bitbucket) and CI/CD pipelines (e.g., Jenkins)
- Innovative mindset and willingness to embrace new approaches
- Strong communication and presentation skills, with the ability to explain complex analytics findings to non-technical stakeholders
- Strong business acumen and the ability to communicate insights clearly to drive strategic decisions.
Responsibilities
- Lead initiatives to tackle the most challenging problems within Cox’s analytical portfolio
- Develop analytics applications, applying best practices for design, development, and testing. Recommend tools, services, and processes as needed
- Use expertise in machine learning, data mining, prompt engineering, and information retrieval to design and build next-generation analytics engines and services
- Architect scalable and maintainable solutions within the AWS ecosystem
- Collaborate with N.A.R.E leadership and engagement teams to present reusable solutions and insights to the business
- Review existing services for scalability, maintainability, and opportunities to reduce complexity
- Assist in tracking and maintaining project goals and roadmaps
- Design complex models and algorithms that drive innovation across the organization
- Mentor junior team members and provide constructive feedback on specific projects.
Preferred Qualifications
- Experience with additional AWS services such as S3, Glue, CloudWatch, EventBridge, EC2, EMR, RedShift, SQS, RDS, IAM, and Terraform
- Practical experience building real-time applications in AWS (e.g., OpenSearch)
- Experience with in-memory storage solutions like DynamoDB or Redis
- Experience with AWS Gen AI models (Claude, Llama) and prompt engineering
- Experience in ETL pipeline development
- Experience within the telecommunications or cable industry, or consulting
- Experience in automated test design and implementation
- Knowledge of data store selection for large-scale applications with high data volume and/or high read/write demands
- Familiarity with Agile methodologies, particularly Scrum or as a Product Owner
- Practical experience applying advanced machine learning, data processing, and AI techniques to reduce mass transactions and optimize customer experience.