onsite
Senior Data Scientist - Bloomingdale's
Data Scientist
Lead the design and deployment of advanced machine learning models and analytics pipelines across e‑commerce, marketing, merchandising, and store operations, turning large data sets into scalable, business‑impacting AI solutions.
About the role
Key Responsibilities
- Design, develop, and productionize advanced machine learning and statistical models for online experience, marketing, merchandising, and store operations.
- Collaborate with cross‑functional teams to translate business problems into data science use cases and generate actionable insights.
- Build and maintain scalable, reusable codebases and data pipelines using Python, SQL, and cloud services (e.g., AWS).
- Conduct hypothesis testing, experiment design, and performance evaluation to ensure models meet business objectives.
- Document and enforce analytics standards, including best practices for model governance, reproducibility, and ethical AI.
Requirements
- 5+ years of professional experience in data science or machine learning, preferably in retail or e‑commerce.
- Strong proficiency in Python, SQL, and cloud platforms (AWS or equivalent) for building production‑grade models.
- Deep knowledge of machine learning algorithms, statistical modeling, and experimental design.
- Demonstrated ability to work with large, complex datasets and deliver scalable analytics solutions.
- Excellent communication skills to convey technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningsqlaws