Pinterest

Staff Data Scientist, Ads Product

Pinterest$164K — $339K *
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's/Master's degree in a quantitative field such as Data Science, Statistics, Economics, or Business Analytics.
  • 8+ years of experience applying advanced analytical methods to solve complex business problems on large-scale data.
  • Strong business acumen with a proven record in translating strategic questions into actionable insights.
  • Understanding of the ads ecosystem, monetization mechanics, and real-time bidding.
  • Expertise in data democratization and experience with business intelligence solutions.
  • Strong foundation in statistics and experimentation with causal inference techniques.
  • Proficiency in SQL, Python, and data visualization tools as Tableau or Looker.

Responsibilities

  • Drive Ads Product Strategy to identify opportunities and insights for decision-making.
  • Translate complex business needs into structured analytical problems and solutions.
  • Ensure data trustworthiness and uphold high standards for data integrity.
  • Act as a strategic thought partner to guide product and engineering teams towards impactful data initiatives.
  • Connect financial and product performance metrics to understand business impact and growth drivers.
  • Communicate complex data findings and strategic insights to senior stakeholders.
  • Elevate data science practices by sharing best practices and contributing to a culture of learning.

Benefits

  • Flexible work environment with a focus on equity and inclusion.
  • Opportunity for continuous learning and contributing to data excellence.
  • In-person collaboration while primarily remote with the PinFlex model.
  • Access to diverse projects within a fast-paced tech environment.
Full Job Description
In this role, you'll be a pivotal individual contributor, shaping how Pinterest's Ads organization leverages data for strategic decision-making and operational excellence. You'll serve as a central expert, empowering our product, engineering, and business teams with accessible, reliable data and actionable insights.

What you'll do:
  • Drive Ads Product Strategy across Pinterest: Leverage your strong business and product acumen to proactively identify opportunities, generate insights, and drive data-driven decision-making aligned with the organization's strategic objectives. You'll play a crucial role in ensuring data insights inform downstream ML applications and broader product improvements.
  • Translate Complex Business Needs into Data Solutions: Partner closely with product, engineering, and business stakeholders to deeply understand their challenges. You will expertly translate ambiguous business questions into structured analytical problems, providing the "why" and "how" behind performance and identifying new opportunities.
  • Ensure Data Trustworthiness and Quality: Establish and uphold high standards for data integrity, consistency, and reliability in all analytical outputs. You will be responsible for ensuring consistently trustworthy and high-quality analyses that directly influence strategic and operational decisions.
  • Be a Strategic Thought Partner: Bring proactive and influential product leadership into areas where data-driven decisions and insights are essential for success. This involves acting as a key advisor to Product Managers, Engineering leaders, and other cross-functional partners, anticipating future product needs, and identifying the most impactful questions that data can answer. You will be responsible for defining the analytical roadmap, translating high-level business problems into specific, actionable data initiatives, and guiding the team to execute them effectively to drive significant product and business outcomes.
  • Connect Financial & Product Performance: Serve as a key liaison with BizOps, Finance, and other Strategy teams, expertly connecting revenue performance data with product actions and performance metrics to provide a holistic understanding of our business impact and growth drivers.
  • Communicate for Impact: Articulate complex data findings, strategic insights, and recommendations clearly and concisely to both technical and non-technical senior stakeholders, influencing business strategy and outcomes.
  • Elevate Data Science Practices: Act as a subject matter expert for the broader Data Science team, sharing best practices in data analysis, strategic thinking, and effective communication. You will contribute to a culture of continuous learning and data excellence across the organization.


What we're looking for:
  • Bachelor's/Master's degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or equivalent practical experience.
  • 8+ years of combined post-graduate academic and industry experience applying advanced analytical methods to solve complex, real-world business problems on large-scale data, preferably within a fast-paced tech environment.
  • Exceptional business acumen and product sense, with a proven ability to translate strategic questions into analytical frameworks and actionable recommendations.
  • Understanding of the ads ecosystem, monetization mechanics, and/or real-time bidding, with a strong interest in the financial aspects of these domains.
  • Expertise in data democratization principles, including experience designing and maintaining foundational datasets and building comprehensive business intelligence solutions.
  • Strong fundamentals in statistics and experimentation, with the ability to interpret and apply insights from various causal inference techniques.
  • Proven ability to influence cross-functional partners and senior leadership through compelling data narratives and strategic insights.
  • Proficiency in SQL, Python, and experience with data visualization tools (e.g., Tableau, Looker) is required.


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 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Seattle, or Palo Alto.


#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

About Pinterest

Pinterest is a social media platform that allows users to discover and save ideas for recipes, home decor, fashion, and more. The company was founded in 2010 and is headquartered in San Francisco, California. Pinterest has over 400 million monthly active users and is available in over 30 languages. The company's mission is to help people discover and do what they love.
Learn more about Pinterest
Size
3,225 employees
Market Cap
$16 billion
Industry
Net Income
-$128.3 million
Founded
2009
5 Year Trend
+53.9%
Revenue
$1.6 billion
NASDAQ

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