Data Science Manager, Ads Format

Posted 12 Days Ago
Be an Early Applicant
2 Locations
148K-304K Annually
Senior level
Social Media
The Role
As a Data Science Manager, you will lead a team of data scientists, fostering innovation and collaboration to support ad format experiences. You will utilize data insights to drive growth, communicate findings to stakeholders, and ensure high-quality outputs. Your role involves building a diverse team and engaging in product development related to advertising and e-commerce.
Summary Generated by Built In

About Pinterest:  

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

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 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.


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.
  • 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.

 

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 San Francisco or Seattle offices.



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

$148,049$304,496 USD

Our Commitment to Diversity:

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.

 

Top Skills

Data Science
Machine Learning
The Company
San Francisco
3,695 Employees
Hybrid Workplace
Year Founded: 2010

What We Do

Pinterest's mission is to bring everyone the inspiration to create a life they love. It’s the biggest dataset of ideas ever assembled, with over 100 billion recipes, home hacks, style inspiration and other ideas to try. More than 250 million people around the world use Pinterest to dream about, plan and prepare for things they want to do in life.

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