Build and improve machine learning, statistical, and causal models for search, ranking, and recommendations aligned with business objectives.
Partner closely with Product and Engineering teams to design, develop, and deploy scalable data science solutions.
Take ownership of projects from experimentation through productionalization.
Identify gaps in existing data, define data product specifications, and collaborate with Engineering to enhance tracking and instrumentation.
Develop models supporting real-time events and cross-functional decision-making across Marketing, Merchandising, Operations, and Supply Chain.
Present insights and model performance to business and engineering leadership.
Promote automation and production-ready solutions whenever possible.
Mentor and support junior data scientists.
Partner with Analytics and other teams to ensure consistent data-driven practices across the organization.

Hands-on experience building ranking and recommendation models in production environments.
MS or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.
Strong foundation in statistical modeling, machine learning techniques, and ML workflows.
Proficiency in Python and related ML libraries/frameworks (e.g., PyTorch, Scikit-learn, boosting models, etc.).
Strong SQL skills and experience working with large-scale datasets.
Experience with cloud platforms (AWS, GCP, or Azure).
Familiarity with model development and deployment tools (e.g., Databricks or similar).
Experience building models that support real-time or near real-time decision-making.
Excellent communication and presentation skills, with the ability to explain complex topics to both technical and business stakeholders.
Experience in eCommerce, marketplace, logistics, or similar high-transaction environments (nice to have).

Senior Data Scientist

Key skills