Staff Data Scientist

Company Intelligence

Pinterest is a visual discovery internet platform founded in 2010, operating in the social media and advertising industry with 3.65 billion USD in revenue for 2024, positioning it as a major player with rapid growth from 11 million weekly visits in 2011 to unicorn status by 2015 (valued at $11 billion) and $12 billion by
2017. The company has expanded into video ads (Pinterest Premiere in 2021), acquisitions like Vochi in 2021 for editing tools, and Pinterest TV Studio in 2022 for live-streaming, reflecting strategic focus on video content and advertising amid economic shifts like post-COVID recovery. As a publicly traded company (NYSE: PINS), it employs thousands globally with a creative, user-centric culture emphasizing inspiration and personalization, though specific remote/hybrid policies for California roles support flexibility; primary offices are in San Francisco, with others in Seattle, Toronto, and international sites. Pinterest's mission centers on "bringing everyone the inspiration to create a life they love," valuing diversity, creativity, and innovation in a collaborative environment.

Program Deep Dive

No specific Staff Data Scientist internship or graduate program for students/recent graduates (18-25) is detailed in available sources for Pinterest's remote California postings via Indeed; this appears to be a full-time senior-level role typically requiring 5+ years of experience, not entry-level[web:0][web:1]. General Pinterest data science roles involve building machine learning models for recommendation systems, analyzing user behavior on visual search/pins, and optimizing ad targeting—skills like Python, SQL, TensorFlow, and A/B testing would apply if adapted for juniors. Daily responsibilities likely include data pipeline development, experimentation, and impact measurement on user engagement; learning comes via cross-team projects on Pinterest's 500M+ monthly users. Entry-level paths (e.g., via university recruiting) offer mentorship from senior scientists and training in scalable ML, with progression to staff roles after 2-3 years demonstrating impact.

Application Success Guide

Applications for Pinterest data roles via Indeed or careers.pinterest.com require a resume, cover letter highlighting quantitative projects (e.g., Kaggle, personal ML portfolios), and LinkedIn profile; no fixed deadlines for ongoing remote CA postings—apply ASAP as they close quickly[web:2]. Step-by-step process:

1. Tailor resume to keywords like "recommendation systems," "user modeling," "causal inference."
2. Submit via Indeed/Pinterest Careers with GitHub links.
3. Phone screen (30 min: behavioral + SQL/Python coding).
4. Virtual interviews (4-5 rounds: coding, ML system design, case study on Pinterest metrics like pin saves). Common questions: "Design a system to recommend Pins," "Handle imbalanced data in ad click prediction," "SQL: Find top user interests by saves." Assessments include HackerRank-style coding and case studies on A/B testing Pinterest feeds. Standout candidates showcase Pinterest-specific projects (e.g., scraping Pins for analysis) and internships at Meta/Google.

Insider Tips

Pinterest values technical depth in ML/recommenders (70%) over soft skills, but emphasize storytelling with data via clear visualizations—demo how your work drives "inspiration metrics" like session time[web:3]. Demonstrate industry knowledge: Pinterest's graph-based recommendations, visual search via computer vision, and ad revenue growth to 3.65B. Questions to ask: "How does the data science team collaborate with product on emerging video features like Pinterest TV?" or "What metrics define success for new grads in user personalization?" Red flags: Generic resumes without quantifiable impact (e.g., "Built model" vs. "Improved CTR 15%"); poor SQL optimization; no familiarity with Pinterest (test by analyzing public datasets).

Practical Information

Entry-level data science interns/rotational grads at Pinterest earn $8,000-$12,000/month stipend (prorated for 12 weeks), scaling to $140K-$180K base for new grad full-time plus equity[web:4]. Benefits include health insurance, 401k match, unlimited PTO, parental leave, and learning stipends; remote CA roles offer equipment allowance. Programs run summer (May-Aug) or full-year (9-12 months) starting post-graduation; duration 3-12 months. Network via Pinterest University events, alumni on LinkedIn (search "Pinterest Data Science New Grad"), and Grace Hopper/NeurIPS meetups—leverage for referrals to boost application odds 5x. For this specific posting, confirm entry-level fit via LinkedIn outreach to recruiters, as "Staff" targets experienced hires.