Sr Lead Data Scientist

Company

Cox Communications, Inc.

Job Family Group

Data Intelligence & Science

Job Profile

Sr Lead Data Scientist

Management Level

Sr Manager - Non People Leader

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

Yes, 5% of the time

Work Shift

Day

Compensation

Compensation includes a base salary of $144,900.00 - $241,500.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

JOB SUMMARY:

We are seeking a highly motivated and talented AI/ML Research & Development Engineer to join our AI Applied Research & Development team. In this role, you will focus on developing and implementing LLM-enhanced, predictive and generative AI solutions within Cox Communications.  Our team is a pioneering R&D team that applies front-of-curve methods and emerging solutions.  The work includes the use of LLMs for advanced reasoning, content generation, synthetic feature generation, model-tuning, and custom neural network training.

Within our multi-disciplinary team, the Research & Development Engineers cover wide range of duties spanning data engineering, data science, ML/Deep Learning model development, novel AI model and tooling deployment, application development, back-end and front-end development, and pilot planning & deployment.  Given the extremely fast pace of evolution in AI, we prefer generalist who is able to confidently cover a wide range of responsibilities along the software development and data science spectrum.

We are looking for a curious mind that has a passion for AI / ML research and AI-powered product development.  A strong foundation in data science, software development, or machine learning will be extremely helpful. However, given the pace of advancement in AI, the key skillset to be successful in this role is the ability to understand real-time technological breakthroughs and can translate those capabilities into working solutions that immediately improve business outcomes.

Our team is built on a culture of innovation, experimentation, and continuous learning. We believe in learning while doing, and in navigating the journey from idea to implementation with curiosity, creativity, and courage.

PRIMARY RESPONSIBILITIES AND ESSENTIAL FUNCTIONS:

• Collaborate with researchers, engineers, and business partners to design, develop, and deploy custom AI/ML models and solutions
• Work on data engineering and data science tasks, including data preprocessing, feature engineering, and data visualization
• Develop and maintain datasets, data pipelines, and data architectures to support ML workflows
• Apply machine learning algorithms and techniques to solve complex problems and drive business value
• Build pilot-ready web applications or API-level interfaces to existing UX platforms.
• Develop and deploy software in a containerized environment.
• Stay up-to-date with the latest advancements in AI and ML research, reading academic papers and applying newly invented methods to real-world problems
• Participate in the development of proprietary neural network training and emerging open-source AI solutions
• Collaborate with cross-functional teams to identify opportunities for AI adoption and develop solutions that drive business value

• Application of AI/ML frameworks and technologies (e.g., TensorFlow, PyTorch, Langchain, Anthrophic, OpenAI, ollama, HuggingFace, AWS Bedrock, Google Vertex, AWS Sagemaker) 
• Experience with programming in Python 
• Experience in at least one cloud platform (e.g., AWS, Azure, Google Cloud) for AI solutions 

 

Preferred:

• Graduate degree strongly preferred  

 

Competencies:

Team:  

• Experience working in cross-functional teams and mentoring talent 
• Proven ability to work with stakeholders across business units to drive to drive large-scale initiatives 
• Strong project management skills, with experience in Agile methodologies 
• Strong communication skills  

 

Analytical: 

• Strong problem-solving abilities with a focus on data-driven decision-making