Pinterest is hiring a remote Staff Data Scientist!
Pinterest is hiring a Staff Data Scientist to join its Core organization, focused on Trust and Safety plus Content Quality. The team's central goal is to move the platform away from reactive moderation and lagging harm reports toward a proactive, metrics-driven operating system built on leading indicators that anticipate risk and improve content quality. This is a senior individual-contributor role for someone who can apply quantitative modeling, experimentation and algorithms to web-scale product problems, working alongside Product, Engineering, Design, Research, Product Analytics and Data Engineering partners. The position is listed as remote, with the expectation of gathering in an office for in-person collaboration one to two times per quarter; it sits anywhere in the country and does not include relocation assistance. Compensation is a US-based base salary range of $164,695 to $339,078 USD, plus eligibility for equity.
Key responsibilities
- Build a deep understanding of the trust and safety platform and quantify opportunities and risks across the full funnel
- Lead projects addressing trust and safety challenges at different funnel stages
- Design and productionize scalable machine learning and evaluation frameworks spanning statistical measurement, recommendation and forecasting
- Establish instrumentation and experimentation best practices and coach product engineering teams on them
- Apply statistical rigor to product creation, development and improvement, grounded in an understanding of how Pinners behave
- Prototype and iterate on analysis pipelines that surface insights at scale, while mapping data structures and metrics and pushing for changes where needed
- Partner cross-functionally to generate and communicate key insights that shape new Pinterest experiences
Key requirements
- At least 10 years analyzing data in a fast-paced, data-driven environment, with demonstrated application of scientific methods to real-world web-scale problems
- Extensive experience with quantitative analysis in machine learning, statistical modeling, forecasting, econometrics or similar
- A rigorous, skeptical approach to data and a commitment to detailed, high-quality, results-oriented work
- Comfort manipulating large, high-dimensional datasets; fluency in SQL or similar and a scripting language such as Python or R
- Strong communication skills, able to explain findings to technical and non-technical audiences and influence cross-functional leadership
- A collaborative mindset suited to turning insights into action quickly
- Bachelor's degree in Computer Science or a related field, or equivalent experience
- Seniority: Staff (10+ years experience)
- Work mode: Remote (anywhere in the country), with in-office collaboration 1-2 times per quarter; no relocation assistance
- Salary: $164,695 - $339,078 USD base, plus equity
- Key skills: SQL, Python, R, Machine Learning, Statistical Modeling, Forecasting, Experimentation, Data Pipelines, Trust and Safety Analytics, Cross-functional Communication
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