Applied Data Scientist - up to $240k Base + Bonus + Equity

Saragossa; Palo Alto (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Bonus

Equity

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Applied AI/ML

Education

Statistics

Mathematics

Job description

Applied Data Scientist (II/III/Staff), Storefront - Fashion Ecommerce - Up to $240k + Bonus + Equity

You get to build recommendation and ranking systems that millions of real people interact with, at a company that just hit a $10 billion valuation.

This is a business that crossed $1 billion in revenue in its sixth year. That is not an accident. It is the result of a company that takes technology seriously and builds its own internal systems rather than bolting together off-the-shelf tools. You are joining at a moment where the foundation is solid and the ceiling is still very high.

In this role you are sitting within the storefront team, working on personalization and ranking systems that directly shape what customers see and what they buy. Your work is in production. It touches real users at real scale. You report directly to the VP of Engineering, Storefront, which means your work is visible, your voice carries weight, and you are not buried inside a sprawling data org somewhere nobody notices.

The equity here is genuine. When a company is at this valuation and still growing at this pace, that matters.

You have a strong background in Python, SQL, and applied AI/ML. You have built and shipped personalization, recommendation, or ranking systems in a consumer-facing environment before. You know what production actually means, and you have worked there. Your academic background is in statistics, mathematics, or another quantitative discipline at an advanced level. You have spent meaningful time in industry doing this kind of work.

The role is hybrid, so you are in the Palo Alto office 3x / week and have flexibility the rest of the time.

Ready to work on something that actually ships?