onsite
Senior Data Scientist, Search and Recommendations - CarMax
Data Scientist
Lead the design and deployment of search and recommendation algorithms using deep learning, large‑scale data pipelines, and A/B testing to enhance the digital shopping experience for millions of users.
About the role
Key Responsibilities
- Design, develop, and productionize search ranking models and personalized recommender systems using deep learning embeddings.
- Collaborate with product, engineering, and analytics teams to define metrics, run experiments, and iterate on model performance.
- Build and maintain scalable data pipelines (SQL, Spark) for feature extraction, model training, and real‑time inference.
- Conduct A/B tests and statistical analyses to evaluate impact on user engagement and conversion.
- Mentor junior data scientists and contribute to best‑practice standards for model monitoring and governance.
Requirements
- 5+ years of experience applying machine learning, especially deep learning, to large‑scale search or recommendation problems.
- Proficiency in Python and frameworks such as TensorFlow or PyTorch.
- Strong SQL skills and experience with big‑data processing tools (e.g., Spark, Hadoop).
- Demonstrated ability to design experiments, analyze results, and translate findings into product improvements.
- Excellent communication skills and a track record of influencing cross‑functional teams.
Skills
pythontensorflowpytorchsqlmachine learningdeep learning