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Data Science Manager, Personalization - CarMax
Data Scientist
Lead a team of data scientists building search and recommendation algorithms, leveraging deep learning embeddings, ranking models, and large‑scale data pipelines to personalize the digital shopping experience.
About the role
Key Responsibilities
- Lead, mentor, and grow a high‑performing data science team focused on personalization, search, and recommendation systems.
- Design, develop, and deploy deep learning embedding models, ranking algorithms, and customer segmentation pipelines at scale.
- Collaborate with product, engineering, and analytics partners to translate business goals into data‑driven solutions.
- Own the end‑to‑end lifecycle of models, from data ingestion and feature engineering in SQL/AWS environments to model training in TensorFlow/PyTorch and production monitoring.
- Drive experimentation, A/B testing, and performance analysis to continuously improve relevance and conversion metrics.
Requirements
- 5+ years of hands‑on experience in machine learning, with a focus on recommender systems, ranking, or personalization.
- Proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch.
- Strong SQL skills and experience building data pipelines on AWS (S3, Redshift, SageMaker, etc.).
- Demonstrated ability to lead technical teams, manage projects, and communicate insights to cross‑functional stakeholders.
- Track record of deploying production‑grade models that impact millions of users.
Skills
pythontensorflowpytorchsqlawsmachine learning