Cox Automotive is seeking a Lead Data Scientist to drive advanced analytics and AI innovation across their Retail business, blending technical depth with strategic leadership to accelerate analytics, insights, and AI adoption.
Requirements
- 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.
- 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.
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.
Other
- Bachelor’s degree in a related discipline and 6 years’ experience in a related field.
- Must live within commutable to Atlanta GA or Irvine CA office and work hybrid model 2+ days in office weekly.
- Must have proven leadership experience managing data science teams and cross-functional initiatives.
- Visionary leader who can shape the future of our Decision Science practice.
- Strong communication skills with the ability to translate technical insights into business value.
