Data Science Manager, Ad Performance

What you'll do:

• Build, inspire and grow a high performance team of data scientists that are thought partners to the team that builds machine learning models that powers Pinterest’s ads stack.
• Strong ML knowledge with a deep understanding of how 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:

• Bachelor’s/Master’s degree in a relevant field such as Computer Science, 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.

What skills are ideal but not required?

• • Experience in building production ML systems

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

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