Hybrid Lead Data Scientist

at Cox Enterprises

• Job title: Lead Data Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: $119,600 - $199,400 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, ETL, Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Atlanta, United States

About the role

• Lead Data Scientist driving advanced analytics and AI innovation in retail business at Cox Automotive. Collaborating across teams while managing a small team of data scientists.

Responsibilities

• Lead end-to-end development of predictive, prescriptive, and perceptive models to support Retail strategy and operations
• Manage and mentor a team of data scientists, fostering growth and technical excellence
• Collaborate with product, engineering, business stakeholders, and external partners to translate complex data insights into actionable strategies
• Serve as a core member of the CDA AI Learning & Development team, helping shape and deliver AI training and enablement across the organization
• Identify and implement automation opportunities using AI-assisted tools (e.g., Snowflake Cortex, GitHub Copilot, M365 Copilot)
• Champion MLOps practices for scalable, secure, and efficient model deployment
• Stay current on AI/ML trends and tools, continuously evaluating their impact on business outcomes.

Requirements

• Bachelor’s degree in a related discipline and 6 years’ experience in a related field
• The right candidate could also have a different combination, such as a master’s degree and 4 years’ experience; a Ph.D. and 1 year of experience; or 10 years’ experience in a related field
• Degree in Statistics, Applied Math, Economics, or related field
• Must have 6+ years of experience in data science, with a strong foundation in statistical modeling, machine learning, and AI.
• Must have proven leadership experience managing data science teams and cross-functional initiatives
• Strong command of Python and libraries such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch
• Use of GitHub Copilot and other GenAI tools for AI-assisted coding and productivity
• Strong communication skills with the ability to translate technical insights into business value
• Expertise in SQL, Python, Dataiku, and modern AI tools for code generation, feature engineering, and model optimization
• Experience with Jupyter Notebooks for exploratory analysis and reproducible workflows
• Experience with Vertex AI Notebooks for scalable model development and integration with Google Cloud services.
• Expertise with cloud platforms (Snowflake, Azure, AWS) and data governance principles
• Knowledge of ETL pipelines using APIs, FTP transfers, and curated views
• Expertise in at least two of the following: Statistics: GLMs, time series, clustering, PCA. Operations Research: Optimization, simulation, heuristics. Machine Learning: Supervised/unsupervised models, tuning, deployment.

Benefits

• The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations
• 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
• parental leave
• health care insurance (medical, dental, vision)
• retirement planning (401(k))