Data Science Manager - Shopper

What makes this role special/exciting?

• Shopping is one of Pinterest’s biggest product bets, a massive focus area for the exec team, and has cutting edge innovation on both the front end and back end of the product. 

• You will work with world class Data Science talent in measuring, understanding, and building the next generation of shopping products for pinners.

• You can become a leader of leaders, developing a best in-class team of technical data scientists.

• The team is responsible for new and existing end-to-end shopping experiences across the platform, touching every major surface and part of the tech stack. Each of them brings its own complexity and challenges which will provide exposure to a wide variety of Data Science problems to solve.

What you'll do:

• Build, inspire and grow a high performance team of data scientists that are thought partners to the team that builds Pinner facing Shopping Experiences.

• 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” 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 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, algorithmic engineer, or machine learning engineer in a technology company.

• Demonstrated skills in selecting the right statistical tools given a data analysis problem. 

• 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.

• Market experience in retail or e-commerce, experience in building consumer tech products with a heavy emphasis on user experience, and experience working with personalization and recommendations teams to improve ML & AI systems. 

Relocation Statement:

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

#LI-NM4

#LI-REMOTE