Senior Data Scientist - Customer Personalization

About the opportunity

Scale contextual multi-armed bandit algorithms and recommendation models across hundreds of millions of worldwide shoppers.

What you will do

• check_circle Build contextual bandit and collaborative filtering models for personalized homepage generation.
• check_circle Run large-scale multi-cell online A/B tests and synthesize statistical conclusions for leadership.
• check_circle Develop scalable feature stores and offline-to-online metric parity evaluation pipelines.
• check_circle Author technical specifications and patent applications for proprietary recommendation technology.

What we are looking for

• arrow_circle_right 5+ years experience applying data science and statistical modeling in high-traffic consumer tech.
• arrow_circle_right Strong fluency in Python, SQL, AWS services (SageMaker, EMR, Redshift), and distributed frameworks.
• arrow_circle_right Demonstrated success deploying online recommendation or dynamic pricing systems at scale.

Skills & Tech Stack