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Data Scientist, Growth

United States - Palo Alto, CA💼 Full-time💰 $171,000–$171,000🗓 2026-07-20 → 2026-07-31

Core

Building machine-driven decision engines and automated bidding infrastructure to optimize global performance marketing spend across 40+ business units.

Role type

Senior IC machine learning engineer (growth marketing)

Builds

End-to-end production ML models, autonomous bidding algorithms, and data pipelines for ad tech workflows.

Domain

Direct-to-consumer retail / Performance marketing / Ad tech

Deliverable

production ML models

Required skills

Python, SQL, machine learning model development, production ML deployment, statistical optimization, data pipeline engineering, ad platform integration

Preferred skills

Ad tech infrastructure experience, programmatic bidding optimization, large language models, vector spaces, DTC/retail data attribution

Technologies

Python, SQL, Google Meets, Zoom

Responsibilities

Model automated bidding infrastructure and allocation algorithms; build end-to-end production ML models from 0 to 1; design and productionalize autonomous models and data pipelines; manage ad platform integrations and bidding automation; optimize complex marketing tech workflows; collaborate cross-functionally with marketing, product, and data science teams.

Seniority

Senior, hands-on IC

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