Staff Data Scientist (Monetization)
Hybrid
$163,064 - $335,720/yearly
Staff
Full-Time
About the role
- We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our ads delivery at Pinterest
- Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform’s future
- Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis
- Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists based in the Toronto office
- Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds
- Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation
- Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
- Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)- Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
- Experience leading key technical projects and substantially influencing the scope and output of others
- Expertise in SQL and Python
- 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data, preferred to have working knowledge of ads delivery and optimization systems
- Proven ability to apply scientific methods to solve real-world problems on web-scale data
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Experience in digital ad delivery stacks preferred
- Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs