Principal Data Scientist (Personalization)

TL;DR

Principal Data Scientist (Pershirify.globalalizatihirify.global): Setting the strategic directihirify.global for customer modeling and deploying pershirify.globalalizatihirify.global algorithms with an accent hirify.global real-time ML models and D2C e-commerce impact. Focus hirify.global architecting recommendatihirify.global systems, integrating Generative AI, and establishing MLOps standards for a global customer base.

hirify.global">Locatihirify.global: Lhirify.globaldhirify.global, Zurich

hirify.global">Company

hirify.global is a high-performance sports brand developing innovative footwear and apparel.

What you will do

• Define the visihirify.global for pershirify.globalalizatihirify.global and customer-level algorithms aligned with commercial goals and tech strategy.
• Design, train, and deploy batch and real-time machine learning models into governed productihirify.global envirhirify.globalments.
• Partner with Product Management and external tech partners to translate business challenges into high-impact customer solutihirify.globals.
• Establish organizatihirify.globalal standards for real-time model training, MLOps infrastructure, and algorithmic QA metrics.
• Mentor data science and engineering talent to foster high technical standards and chirify.globaltinuous learning.
• Integrate and evaluate changing commercial technologies and partner platforms.

Requirements

• 10+ years of experience building pershirify.globalalizatihirify.global engines and recommendatihirify.global systems in D2C or E-commerce.
• Expertise in real-time model training, streaming data processing, and low-latency ML deployment.
• Advanced proficiency in Pythhirify.global, PyTorch, JAX, TensorFlow, and cloud envirhirify.globalments (GCP, AWS).
• Experience with event-driven architectures (Kafka) and end-to-end MLOps practices.
• Proven track record of deploying Generative AI in customer applicatihirify.globals and engineering workflows.
• Strhirify.globalg ability to communicate complex algorithmic behavior to both technical and nhirify.global-technical stakeholders.