Staff Data Scientist, Ads Performance

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterests long-term success. Were looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What youll do:

Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platforms future.
Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system advise on best practices identify flaws and build tools and frameworks for experiment analysis.
Leadership: Lead and mentor peers improving team output through continuous candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
Continuous Learning: Stay informed on the latest developments in data science causal inference and advertising technology to drive innovation.

What were looking for:

8 years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
Direct involvement in the evaluation refinement and deployment of ads optimization models for ads delivery systems.
Proficiency in leveraging large datasets for performance analysis and gap identification.
Proven ability to apply scientific methods to solve real-world problems on web-scale data
Expertise in SQL and Python
Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience leading key technical projects and substantially influencing the scope and output of others
Experience in digital ad delivery stacks preferred

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means were 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: San Francisco CA or Seattle WA.

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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Required Experience:

Staff IC

What youll do:

Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platforms future.
Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system advise on best practices identify flaws and build tools and frameworks for experiment analysis.
Leadership: Lead and mentor peers improving team output through continuous candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
Continuous Learning: Stay informed on the latest developments in data science causal inference and advertising technology to drive innovation.

What were looking for:

8 years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
Direct involvement in the evaluation refinement and deployment of ads optimization models for ads delivery systems.
Proficiency in leveraging large datasets for performance analysis and gap identification.
Proven ability to apply scientific methods to solve real-world problems on web-scale data
Expertise in SQL and Python
Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
Experience leading key technical projects and substantially influencing the scope and output of others
Experience in digital ad delivery stacks preferred

In-Office Requirement Statement:

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

Relocation Statement: