Lead Data Scientist

About the position

Cox Communications is seeking a Lead Data Scientist to join their Data Science team, focusing on advanced analytics for Cox Business. This role involves designing and implementing machine learning, deep learning, and natural language processing applications, while also managing third-party data scientists. The Lead Data Scientist will work on developing robust data pipelines, conducting statistical analyses, and collaborating with team members to solve complex challenges.

Responsibilities

• Design, implement, test, prototype, and deploy ML, DL, AI, and NLP applications to extract value from structured and unstructured data.
• Develop and maintain robust data pipelines to support ML/AI workflows.
• Perform end-to-end statistical analyses from problem definition to insight generation.
• Conduct ad-hoc analyses to meet specific business needs.
• Collaborate with team members to improve data flow and processing efficiency.
• Guide junior team members and support contractors during the ML modeling process.
• Identify and implement opportunities for automation in data processing and ML workflows.
• Develop frameworks and apply best practices to mature analytics and data engineering solutions.
• Prepare documentation, reports, and visualizations to communicate findings effectively.
• Continuously evaluate and integrate new technologies to enhance data infrastructure.

Requirements

• Bachelor's degree in Data Science, Machine Learning, Statistics, Mathematics, Computer Science, or related discipline with 6 years of experience, or a master's degree with 4 years, or a Ph.D. with 1 year, or 18 years of experience in a related field.
• 5+ years of experience in advanced analytics roles, including ML, AI, NLP, and predictive analytics.
• Strong programming skills with 5+ years of experience in data/analytic software and languages such as Spark, R, Python, Scala, Java, SQL, and Tableau.
• Expertise in machine learning and deep learning frameworks like TensorFlow, Keras, and Pytorch.
• Experience with cloud computing, particularly AWS tools like SageMaker, Athena, and S3.
• Experience in designing end-to-end ML pipelines and implementing MLOps practices.

Nice-to-haves

• 5+ years of programming experience in Python, PySpark, and SQL for scalable data processing.
• Practical experience in Generative AI techniques applied to transaction reduction and predictive analytics.
• Experience in data visualization using tools like Tableau or Power BI.

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, military leave, parental leave, and COVID-19 vaccination leave.