Applied Data Scientist - Personalization & Ranking (Hybrid)

Saragossa; Palo Alto (CA); Ibrido; USD 180.000 - 240.000; Tempo pieno

Vantaggi offerti da questo lavoro

Bonus

Equity

Descrizione del lavoro

Saragossa in Palo Alto is seeking an Applied Data Scientist (II/III/Staff) for the Storefront - Fashion Ecommerce team. You will build production-grade personalization, recommendation, and ranking systems that influence what millions see and buy.

You will work in a hybrid setup, applying Python, SQL and advanced AI/ML to real user interactions. You will report to the VP of Engineering, Storefront, and ship impactful features at scale.

Competenze

• Strong background in Python, SQL and applied AI/ML.
• Built and shipped personalization, recommendation, or ranking systems in a consumer-facing environment.
• Advanced academic training in statistics, mathematics or quantitative disciplines.

Mansioni

• Develop production-grade personalization, recommendation and ranking systems for storefront.
• Collaborate with Storefront team and ship features that impact real users at scale.
• Work under the VP of Engineering, Storefront, to ensure reliability and impact.

Conoscenze

Python

SQL

Applied AI/ML

Formazione

Statistics

Mathematics

Descrizione del lavoro

Saragossa in Palo Alto is seeking an Applied Data Scientist (II/III/Staff) for the Storefront - Fashion Ecommerce team. You will build production-grade personalization, recommendation, and ranking systems that influence what millions see and buy.

You will work in a hybrid setup, applying Python, SQL and advanced AI/ML to real user interactions. You will report to the VP of Engineering, Storefront, and ship impactful features at scale.