Principal Data Scientist, Consumer Experience

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Requirements:

• MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field AND 3+ years of experience as a data scientist in eCommerce or Logistics.
• Or, 8+ years of experience as a data scientist in eCommerce or Logistics.
• Hands-on experience in building ranking and recommendation models in production environments.
• Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques.
• Expert knowledge in statistical and machine learning techniques, data science libraries, model deployment, and machine learning workflows.
• Proficient in Python and related ML libraries (e.g., PyTorch), SQL, cloud platforms (e.g., AWS, GCP, Azure), and model development and deployment technologies (e.g., Databricks).
• Excellent communication and presentation skills.

Responsibilities:

• Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals.
• Work closely with product and engineering managers to develop and deploy solutions with cross-functional support.
• Educate business and engineering partners on data science concepts.
• Build models that support real-time events.
• Present work to leadership and identify gaps in existing data.
• Create data product specs and implement enhanced data tracking.
• Share insights and best practices with Analytics team members.
• Commit to automation and productionalized solutions.
• Provide mentorship to less experienced data scientists.