Senior Data Scientist, Ads Marketplace — Equity & Impact

Etsy, Inc.; New York (NY); Híbrido; USD 151.000 - 205.000; Jornada completa

Descripción de la vacante

Etsy, Inc. is seeking a Senior Data Scientist for the Ads Marketplace team to uncover insights shaping Etsy Ads strategy. You will partner with product managers, engineers, and scientists to connect customer problems with model details and system outcomes.

You will lead analytics across the product lifecycle, work with cross-functional teams, and drive data-driven decisions. This role emphasizes experimentation, robust metrics, and scalable insight generation.

Formación

• 4+ years experience as a data scientist or data analyst extracting insights from big data with minimal engineering support.
• 1+ year experience developing or evaluating ML models.
• Experience guiding product teams to identify opportunities and drive data‑driven decisions in a two-sided marketplace.
• Mastery of SQL and proficiency in Python/R; familiarity with Spark is a plus.
• Experience crafting online experiments and understanding A/B testing.

Responsabilidades

• Lead analytical aspects of the product lifecycle from sizing opportunities to measuring success via experimentation for ML squads.
• Collaborate with Ads Marketplace leads to define key analysis questions.
• Use rigorous methods to improve the models powering Etsy Ads.
• Define metrics to ensure robust measurement of product performance.
• Additional duties as needed and aligned with Etsy policy.

Conocimientos

SQL

Python

R

Looker

Tableau

Spark

A/B testing

Propensity Score Matching

Causal Impact

Regression Models

Herramientas

Spark ecosystem

Looker

Tableau

Descripción del empleo

Etsy, Inc. is seeking a Senior Data Scientist for the Ads Marketplace team to uncover insights shaping Etsy Ads strategy. You will partner with product managers, engineers, and scientists to connect customer problems with model details and system outcomes.

You will lead analytics across the product lifecycle, work with cross-functional teams, and drive data-driven decisions. This role emphasizes experimentation, robust metrics, and scalable insight generation.