Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

Drive data-science for people- and business-facing products: establish experimentation and instrumentation best practices, apply statistical and ML methods to web-scale data, build scalable analysis pipelines, and partner cross-functionally to turn insights into product improvements.

Technical lead for forecasting: design and deploy production time‑series models at scale, own end‑to‑end modeling lifecycle, set technical vision for forecasting platform, translate forecasts into executive decisions, expand time‑series capabilities (anomaly detection, RCA, attribution), embed forecasts into business processes, and mentor at least two data scientists.

Lead company-level programs for Search Signals, driving strategy and execution across offsite/onsite signals, content understanding, and relevance. Influence cross-functional partners and executive leadership, integrate new ML models (LLMs, VLMs, recommender systems), design AI-first workflows, and ensure safety, governance, and measurable program outcomes.

Technical lead for the backend platform of Pinterest Assistant: define architecture and build scalable orchestration, memory, personalization, context management, APIs, tool integrations, and infrastructure for multimodal conversational AI. Drive platform strategy, estabish production best practices for LLM/agent systems, mentor engineers, and collaborate cross-functionally with ML, frontend, and product teams.

Lead marketing measurement and optimization by building statistical and ML models (propensity, forecasting, LTV), attribution methods, and causal inference analyses. Design experiments, automate ETL and reporting pipelines, create dashboards, and translate insights into strategic recommendations to drive advertiser acquisition, retention, and revenue growth.

Lead product vision and roadmap for Pinterests programmatic advertising. Drive integrations with DSPs/SSPs, prioritize features for scalability and automation, build reporting and workflow tools, partner cross-functionally, leverage data to measure impact, and support advertiser adoption and performance.

Lead measurement and analysis for Notifications: define metrics, size opportunities, and communicate product recommendations. Partner with product, engineering, and ML to prioritize projects, improve notification ML models, and iterate via A/B experimentation. Mentor other data scientists and drive high-impact, cross-functional initiatives.