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Staff Data Scientist, Ads Performance

Roles & Responsibilities

  • 8+ years of combined post-graduate academic and industry experience applying scientific methods to web-scale data problems
  • Direct involvement in evaluation, refinement, and deployment of ads optimization models for ads delivery systems
  • Expertise in SQL and Python
  • Excellent communication skills with the ability to lead initiatives across multiple product areas and communicate findings to leadership and product teams

Requirements:

  • Strategy: Evolve our strategy by working closely with product and engineering leaders to shape the platform's future
  • Experimentation: Improve experimentation capabilities and tools for assessing the 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 and Continuous Learning: Clearly and concisely communicate complex analytical findings to stakeholders with varying technical backgrounds, and stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation

Job description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest’s long-term success.  We’re 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 you’ll do:

  • Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's 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 we’re 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 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: 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.

 

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$163,064$335,720 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
 

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