Senior Manager Applied Science - Recommendations
Core
Drive vision and strategy for Commerce Intelligence, focusing on multi-modal search, recommendation systems, and brand/price affinity modeling to enable AI-first personalization.
Role type
Senior Manager Applied Science - Recommendations
Builds
AI-driven commerce platforms and personalization features for global e-commerce
Domain
E-commerce, AI/ML, Recommendation Systems
Deliverable
production ML models
Required skills
Large-scale recommendation system design, ML architecture leadership, team management, data mining, model deployment, distributed training, MLOps
Preferred skills
E-commerce domain experience, academic knowledge of data science
Technologies
TensorFlow, PyTorch, scikit-learn, Apache Spark, RAPIDS, Dask, Kubeflow, MLflow
Responsibilities
Define overall vision for commerce intelligence, provide technical leadership for ML architecture and production deployments, manage and mentor ML engineers and data specialists, partner with business teams to establish metrics and improve debugging, ensure data quality and integrity, conceive and prioritize data projects, lead data mining for unstructured datasets, experiment with new models, drive model implementation into production, create a positive team culture
Seniority
Senior, hands-on IC with leadership responsibilities
