Senior Data Scientist - Portfolio
Core
Develop advanced machine learning and deep learning solutions for portfolio optimization, recommendations, personalization, forecasting, and insights discovery to serve retailers and sellers globally.
Role type
Senior IC machine learning engineer (portfolio optimization & recommendations)
Builds
End-to-end AI/ML products and tools for B2B commerce
Domain
B2B commerce, retail, and supply chain
Deliverable
production ML models
Required skills
Machine learning, deep learning, statistical modeling, Python, PySpark, distributed data processing, model validation, experimentation frameworks, cloud platforms (Azure, Databricks, Spark), AI coding agents
Preferred skills
PhD in quantitative field, experience with high-stakes decision systems, CI/CD practices
Technologies
Python, PySpark, Azure, Databricks, Spark
Responsibilities
Design complex analysis of datasets and develop/deploy ML algorithms for portfolio optimization and recommendations; Architect and optimize large-scale data processing workflows on cloud platforms; Support design and implementation of reliable data pipelines and modeling workflows; Engage with cross-functional teams to translate business needs into technical requirements; Mentor junior and mid-level data scientists
Seniority
Senior, hands-on IC with mentorship responsibilities
