Data Science Manager, Marketing Science

You will be a part of the first Marketing Science team at Pinterest. This new initiative is sponsored by Pinterest leadership and has direct visibility to ads leadership. The team is responsible for understanding what drives performance on Pinterest for advertisers, identifying key opportunities and best practices to unlock improved or expanded value at platform scale, and proactively managing key trends for sustained positive advertising performance.We are refreshing our new ads offerings to deliver Pinterest's value as an advertising platform while continue inspire Pinners for the lives they love.You will work with world class data science talent in building the next generation advertising products.You can become a leader of leaders, developing a best in-class team of technical data scientists.

What you'll do:

• Build, inspire and grow a high performance team of data scientists that are thought partners to the ads product marketing and sales team, and unlock revenue from more advertisers.
• Strong business acumen with a deep understanding of key business metrics and the ability to leverage data insights to drive growth and achieve tangible business outcomes.
• Work with product and eng partners help identify and answer important "why and how" questions. Lead the team to structure ambiguous business 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 analytical 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 degree in a quantitative field or equivalent experience.
• Experience in managing teams of data 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 being a thought partner to improve decision quality and able to influence with expertise.
• Demonstrated experience working with ads products and data.
• What skills are ideal but not required?
  
  
  
  • Experience working with ads go-to-market and/or sales teams.
  
  
  
  

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

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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