You Will:
- 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 our business and engineering partners across the organization on data science concepts (e.g., statistics, machine learning)
- Build models that support real-time events
- Present work to business and engineering leadership
- Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
- Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
- Commit to automation and productionalized solutions whenever possible
- Provide mentorship to less experienced data scientists
You Have:
- 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 to solve challenging business problems
- Statistical and machine learning techniques
- Data Science libraries in a programming or scripting languageModel deployment
- Machine learning workflows
- Python + related ML libraries and frameworks (Ex: PyTorch)
- Proficient in SQL and working with large datasets.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks).
- Excellent communication and presentation skills (to both technical and business audiences)
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