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PinterestStaff Data Scientist, Ads Product
Pinterest operates a visual discovery platform where millions of users find inspiration and creative ideas for their lives and projects. The company is currently hiring a…
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About This Role
Pinterest operates a visual discovery platform where millions of users find inspiration and creative ideas for their lives and projects. The company is currently hiring a Staff Data Scientist to join its Ads Product team as a key individual contributor based in San Francisco. This position suits an experienced data professional who can guide strategic decision-making and operational excellence within the advertising sector by bridging complex data findings with business…
Job Description
Pinterest operates a visual discovery platform where millions of users find inspiration and creative ideas for their lives and projects. The company is currently hiring a Staff Data Scientist to join its Ads Product team as a key individual contributor based in San Francisco. This position suits an experienced data professional who can guide strategic decision-making and operational excellence within the advertising sector by bridging complex data findings with business objectives.
In this capacity, the selected professional will function as a central expert who empowers product, engineering, and business groups with reliable data and actionable metrics. The work involves shaping advertising product strategy, converting ambiguous business challenges into structured analytical frameworks, and connecting financial performance with product actions. The individual will also act as a strategic thought partner to leadership teams, define analytical roadmaps, and uphold rigorous standards for data integrity and consistency.
The role operates under a hybrid working model requiring in-office collaboration once per week from a commutable distance to San Francisco, Seattle, or Palo Alto. Candidates must be based in the United States. Pinterest offers a base salary range alongside equity eligibility, though relocation assistance is not provided for this opening.
Responsibilities
- Shape advertising product strategy by identifying growth opportunities and driving data-informed decisions that support machine learning applications and product enhancements.
- Collaborate with engineering, product, and business stakeholders to convert complex and ambiguous business challenges into structured analytical problems.
- Maintain strict standards for data consistency, reliability, and integrity across all analytical outputs to guide strategic choices.
- Serve as an influential advisor and strategic thought partner to product managers and engineering leaders while establishing analytical roadmaps.
- Liaise with finance and business operations teams to link revenue performance data with product actions and metrics.
- Present intricate data findings and strategic insights clearly to technical and senior non-technical leadership.
- Mentor the broader data science community by sharing best practices in strategic thinking, communication, and analysis.
Requirements
- Possess at least 8 years of combined post-graduate academic and industry experience applying advanced analytical methods to large-scale data in tech environments.
- Demonstrate strong product sense and business acumen with a history of translating high-level strategy into actionable analytical frameworks.
- Bring familiarity with the advertising ecosystem, real-time bidding, or monetization mechanics alongside an interest in financial dynamics.
- Show expertise in data democratization, including the design and maintenance of foundational datasets and business intelligence solutions.
- Apply solid fundamentals in statistics, experimentation, and causal inference techniques.
- Exhibit the ability to influence cross-functional partners and senior leadership using data narratives.
- Maintain proficiency in Python, SQL, and data visualization software such as Looker or Tableau.
- Work on-site in San Francisco, Seattle, or Palo Alto for in-person collaboration one day per week.
Qualifications
- Hold a Bachelor's or Master's degree in a quantitative discipline like Data Science, Business Analytics, Statistics, Economics, or possess equivalent practical experience.
Core Skills
Benefits
- Eligible for company equity
- Base salary compensation ranging from $164,695 to $339,078 USD
Frequently Asked Questions
What is the location and remote policy for this job?
The position is based in San Francisco, Seattle, or Palo Alto. It requires working from the office one day per week for in-person collaboration, and applicants must be based in the United States.
Is relocation assistance provided?
No, this position is not eligible for relocation assistance.
What is the salary range for the Staff Data Scientist position?
The base salary range spans from $164,695 to $339,078 USD, and the role is also eligible for equity.
What level of experience is required?
Candidates must have 8 or more years of combined post-graduate academic and industry experience applying advanced analytical methods to large-scale data.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.