Measurement Science Manager
As a Measurement Science Manager on the Measurement Science & Insights team, you'll provide strategic direction on diverse partner-facing analytical questions to help a variety of Advertising Partners understand and improve the effectiveness of their advertising on Pinterest. You'll grow a high performance team aimed at using various statistical methods to do research for internal stakeholders and to inform the industry as a whole. You'll also use learnings from this work to influence Pinterest's internal measurement product and ad product roadmap.
What You'll Do:
- Apply expertise in quantitative analysis, data mining, modeling, and the presentation of data to understand how we drive value for our partners and develop a cohesive measurement science strategy.
- Partner with Measurement, Insights, Partner Marketing, Partner Product, and Engineering teams to solve problems, build products based on data, and identify new opportunities.
- Guide a team of Measurement Scientists to execute strategy around reporting, visualizing, and communicating results to cross-functional teams.
- Design, build, and launch new data models of user behaviors for analysis that relates to Partner outcomes.
- Grow the measurement science and insights organization by attracting and retaining strong talent.
What we're looking for:
- 10+ years of leadership experience in data science within the advertising or marketing industry.
- MS degree required, PhD preferred.
- Strong knowledge in various statistical methods and/or machine learning.
- Expertise in working with relational databases, querying language (SQL, HQL), and statistical languages (R, Python).
- Experience leading or growing teams in a hyper growth environment.
- Ability to work cross-functionally with sales, product, marketing, and other members of the monetization leadership team at Pinterest.
Meet Some of Pinterest's Employees
As a company that relies on a huge collection of images and an elegant user-interface, Pinterest needs engineers like Tracy to write the code that supports it.
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