Job Information
Pinterest, Inc. Staff Data Scientist, Privacy Enhancing Technologies in Seattle, Washington
About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love.In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helpingPinnersmake their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working. Visit our landing page to learn more. We are looking for a specialist in Privacy-Enhancing Technologies (PETs), particularly with a background in research, design and development of PETs for privacy-preserving data sharing, experimentation, and Machine Learning. Pinterest is committed to delivering ads experience and measurement results all while maintaining a steadfast commitment to safeguarding the privacy of our global community of Pinners. The technologies and solutions driven by this role and team will support business growth while evolving and innovating with the regulatory and industry trends. What you'll do: Be at the forefront of bringing Privacy-Enhancing Technologies to Pinterest Provide expert input on the development and use of privacy-enhancing technologies - and the intersection with business Lead research and analysis efforts regarding regarding how privacy-enhancing technologies can be used to build scalable data handling in ads data reporting, ML, and experimentation Work closely with XFNs to drive projects from idea formulation to design and implementation What we're looking for: 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data Practical knowledge of PETs, principles and practices Strong fundamentals in Mathematics Proven ability to apply scientific methods to solve real-world problems on web-scale data Proficiency in SQL/Hive/Python Excellent communication skills: able to explain complex technical terms to audience with diverse context knowledge Ads domain knowledge. Strong focus on understanding ads domain and advertiser-focused objectives, measuring ad effectiveness, or similar Experimentation at web scale. Familiarity with online experimentation and its pitfalls ML modeling, ideally with biased / incomplete training data. Has built models end to end (feature design, feature selection, training data, implementation, iteration, productionisation) and can intelligently discuss trade-offs / decisions at each step Experience in the strategic analytics side of data science: shaping decisions rather than just building solutions Relocation Statement: This position is not eligible for relocation assistance. Visit our page to learn more about our working model. #LI-JT6 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found . US based applicants