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.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
What you’ll do:
- Develop measurement frameworks and metrics to drive data-driven decision making, optimizing for the full user journey. Product recommendations. Clearly communicate recommendations to product and engineering leadership on how we can evolve our Notifications strategy to address shortcomings observed through deep analysis. Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement to our growth strategies.
- Thought partner to product, engineering, and ML leadership on the Notifications team to prioritize/scope projects and inform the development of the notifications user experience and corresponding ML systems.
- Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses.
- Leadership: Mentor the scope of work for other data scientists, demonstrating high-quality output of both yourself and others for whom you mentor.
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
- Strong background in statistics, machine learning, and/or experimentation
- Expertise in at least one scripting language (ideally Python/R)
- Proficiency in SQL/Hive
- Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams through compelling data narratives.
- Experience working closely with cross-functional teams, iterating on a user product via A/B experimentation.
- Experience leading key technical projects and substantially influencing the scope and output of others
- Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the country.
#LI-NM4
#LI-REMOTE
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 here.
US based applicants only
$164,695—$339,078 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
Pinterest San Francisco, California, USA Office
San Francisco, CA, United States
Pinterest Palo Alto, California, USA Office
Palo Alto, United States
Similar Jobs
Artificial Intelligence • Cloud • Information Technology • Consulting
Build and enhance cloud-based applications for mission-critical workloads. Responsibilities include designing, coding, testing, debugging, integrating, and deploying application modules; developing CI/CD pipelines; applying cloud-native, DevOps, security, scalability, and performance practices; and collaborating with project managers and development partners to deliver, monitor, and support cloud services.
Top Skills:
Ci/CdCloud-Native ApplicationsContainerizationDistributed SystemsEvent-Driven ProgrammingGoInfrastructure As CodeJavaJavaScriptKubernetesManaged Cloud ServicesNext-Generation DatabasesPython
Artificial Intelligence • Consumer Web • Edtech • HR Tech • Information Technology • Software • Conversational AI
Own post-sale customer and value strategy for enterprise accounts. Build executive relationships, understand workforce and skills priorities, establish success metrics, lead strategic business reviews, demonstrate solution value, mitigate customer risks, support renewals and expansion, and coordinate internal resources. The role partners with Account Executives to develop account plans and identify growth opportunities while translating customer challenges into learning and talent strategies.
Top Skills:
ChurnzeroCornerstoneDegreedExcelPowerPointSalesforceSap SuccessfactorsWorkday
Artificial Intelligence • Fintech • Software • Travel
Build and maintain engineering-led business systems supporting CRM, revenue operations, sales, and growth. Develop integrations, internal tooling, automations, and AI-powered production workflows across the modern go-to-market stack. Write and deploy code through Git and CI/CD, collaborate with non-engineering stakeholders, evaluate no-code and low-code solutions, and establish maintainable release practices for a growing Business Systems team.
Top Skills:
AgentforceAPIsCi/CdClaude CodeCursorGitIpaasSalesforceSalesforce Data Cloud
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
