Pinterestposted 21 days ago
$163,064 - $335,720/Yr
Full-time • Senior
San Francisco, CA
Professional, Scientific, and Technical Services

About the position

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.

Responsibilities

  • Lead and Build the Marketing Data Science Function - Establish and grow the first Data Science team supporting Marketing, setting the roadmap and execution plan for the function.
  • Develop High-Impact Models and Analytics - Drive the creation and evolution of Marketing Mix Models (MMM), Geo-Testing and Incrementality models and other statistical analyses that quantify the impact of brand and performance marketing investments.
  • Own and Execute the Marketing Data Science Roadmap - Design, prioritize, and deliver against a roadmap that quantifies and improves marketing ROI, and delivers actionable insights and recommendations to drive business objectives.
  • Hands-On Technical Contribution - Spend approximately 30% of time as an individual contributor, setting the technical standard and owning critical analyses.
  • Mentor and Grow the Team - Hire, coach, and develop high-performing Data Scientists (currently managing two), fostering technical excellence and professional growth.
  • Partner Across the Business - Collaborate deeply with Product, Engineering, Marketing, Analytics, and other Data Science teams to integrate insights into programs and product roadmaps.
  • Champion Measurement and Optimization - Build new tools and processes—such as recommendation engines—to uncover cost-saving strategies, optimize marketing investments, and inform executive decision-making.
  • Create Visibility and Impact - Serve as a trusted thought partner to senior leadership and stakeholders, communicating insights, influencing strategy, and elevating the data science profile across the company.

Requirements

  • Advanced degree (MS or PhD) in Statistics, Computer Science, a related field, or equivalent experience.
  • 8+ years of combined postgraduate academic and industry experience in data science.
  • 3+ years of experience in managing teams of data scientists, fostering a culture of innovation, collaboration, accountability, and continuous improvement.
  • Proficient in Python/R, SQL, and working with cloud-based data environments.
  • Deep expertise in causal inference, Marketing Mix Modeling (MMM), incrementality measurement, and experimental design and analysis.
  • Hands-on experience as a data scientist in a technology company.
  • Prior experience managing and mentoring Data Scientists.
  • Ability to set a compelling vision, motivate teams, and deliver results through others.
  • Demonstrated skills in selecting the right statistical tools given a data analysis problem.
  • Strong sense of ownership and urgency, with a demonstrated ability to align data science initiatives with business priorities and measurable impact.
  • Exceptional communication skills; able to distill and translate complex analyses for senior marketing, product, and engineering partners, as well as senior leadership and the C-suite.
  • Experienced in building programs, processes, and teams from the ground up.
  • Passionate about driving visible impact at scale in a dynamic environment.
  • Strong business and product acumen, with a proven ability to translate ambiguous questions into clear analyses and actionable success metrics that drive impactful business decisions.
  • Experience being a thought partner to improve decision quality and able to influence with expertise.

Nice-to-haves

  • Prior experience supporting user growth initiatives.
  • Experience working on apps focused on driving daily, weekly, or monthly active users (DAU/WAU/MAU).
  • Experience within a Growth function like user engagement and retention.

Benefits

  • Base salary range: $163,064—$335,720 USD.
  • Eligible for equity.
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