Position Overview
We’re looking for a passionate and experienced Data Scientist Manager to lead personalization efforts within Ralph Lauren’s CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets
Essential Duties & Responsibilities
Lead development of machine learning solutions for CRM personalization.
Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features to improve relevance and performance.
Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies
Own the full ML lifecycle—from model design to deployment and monitoring.
Partner with engineering and data teams to ensure scalable solutions.
Continuously monitor and improve model performance using data insights and feedback.
Experience, Skills & Knowledge
Proven experience in machine learning, particularly in recommendation systems and deep learning architectures.
Strong understanding of two-tower neural networks, embedding techniques, and ranking models.
Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch)
Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku.
Experience with ML Ops, including model deployment, monitoring, and retraining pipelines.
Ability to work cross-functionally with marketing, CRM, and engineering teams.
Excellent communication and stakeholder management skills
Experience in a global or multi-regional context is a plus
