Data Science Manager, Ads Delivery

What you'll do:

• Build, inspire and grow a high performance team of data scientists that are thought partners to the teams that run Pinterest’s ads stack.


• Strong causal inference/marketplace knowledge with a deep understanding of how ML models drive business.


• Work with product and engineering partners help identify and answer important "why and how" questions. Lead the team to structure ambiguous technical challenges into actionable plans. Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business. Drive data-driven decision-making aligned with the organization's strategic objectives.


• Communicate complex findings and insights to both technical and non-technical stakeholders in a clear and concise manner.


• Be a champion for building highly talented and diverse teams with an inclusive culture.

What we're looking for:

• MS or PhD in a quantitative field or equivalent experience.


• Experience in managing small teams of highly technical scientists, fostering a culture of innovation, collaboration, and continuous improvement.


• Hands on experience as a data scientist, research scientist, applied scientist, or machine learning engineer in a technology company.


• Effective written and verbal communication skills.


• Experience with hypothesis driven product development.


• Experience being a thought partner to improve decision quality and able to influence with expertise.


• Industrial experience with ads product and metrics.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.


• This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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