Pinterest9 дней назад

Staff Data Scientist, Ads Delivery

Зарплата не указана

РЫНОК

14 583 ₽медиана по профессии

Data Scientist · 21 вакансий с указанной зарплатой

7 333половина предложений: 12 500–20 00031 333

Работодатель не указал зарплату — сравните с рынком сами.

San Francisco

Обязанности

01Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks
02Lead projects on: Ads Delivery opportunities across different funnel stages
03Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference
04Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact
05Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights
06Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence

0110+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics
02Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark
03Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems
04Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes
05Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences
06Track record mentoring and growing data talent at the staff/senior IC level
07Cross-functional leadership and the ability to align competing interests towards shared goals
08Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience

01This position is not eligible for relocation assistance
02This role will need to be in the office for in-person collaboration 1-2 times per week and therefore needs to be in a commutable distance to the following offices: San Francisco, Palo Alto or Seattle
03Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise
04US based applicants only $164,695 — $339,078 USD
05The position is also eligible for equity