Pinterest · 1 day ago

Data Science Manager, Ads Format

Seattle, WA

Full-time

Remote

Mid Level

$148K/yr - $304K/yr

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Comp. & Benefits

No H1B

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Responsibilities

Build, inspire and grow a high performance team of data scientists that are thought partners to the team that builds Pinner facing Ad Formant Experiences and unlocks 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' 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceStatistical ToolsTeam ManagementMachine LearningProduct DevelopmentBusiness AcumenE-commerce ExperienceConsumer Tech ProductsInnovation Culture

Required

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.

Industrial experience with ads product and metrics.

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 performance of our products.