- Company Name
- CarMax
- Job Title
- Senior Data Scientist
- Job Description
-
Job Title: Senior Data Scientist
Role Summary: Design, develop, and operationalize predictive models and algorithms that deliver personalized customer experiences and drive business insights across product, marketing, operations, and data engineering functions.
Expectations: Lead analytic endeavors, advance data‑science practices within the organization, influence cross‑functional strategy, and consistently deliver actionable, scalable model solutions with measurable impact.
Key Responsibilities:
- Build and refine recommendation, search, and other personalized algorithms to enrich customer interactions.
- Apply advanced statistical and machine‑learning techniques to large, complex datasets (customer, website, transactional).
- Design model training, evaluation, and deployment pipelines on cloud platforms and data lakes.
- Identify, prioritize, and execute experiments to improve model performance and business outcomes.
- Partner with Product, Operations, Strategy, Data Engineering to create data‑powered product use cases and tools for CX, AX, and acquisition.
- Communicate findings and model rationale to stakeholders at all levels through clear data stories and presentations.
- Mentor teammates, share best practices, and promote continuous learning within the analytics team.
Required Skills:
- Proficiency in R, Python, Scala, or equivalent languages for large‑scale numerical and textual analysis.
- Expertise in machine‑learning frameworks, statistical modeling, and data‑mining techniques.
- Experience with cloud computing, data lake architecture, and scalable data pipelines.
- Strong analytical mindset with a proven record of deriving actionable insights.
- Excellent written and verbal communication; ability to explain complex technical concepts to non‑technical audiences.
- Project management skills to juggle multiple priorities in a fast‑paced environment.
- Bonus: experience with recommender systems, search algorithms, or deploying models to production web services.
Required Education & Certifications:
- Bachelor’s degree in Statistics, Data Science, or related quantitative field; advanced degree (Master’s or Ph.D.) preferred.
- 1–2+ years of professional experience in data science, machine learning, or statistical modeling.