Lead and manage a team of data scientists to leverage insights for business growth, influence decision-making, and foster an inclusive team culture.
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.
What you'll do:
- Build, inspire and grow a high performance team of data scientists that are thought partners to the team that builds the data foundation for Pinterest to understand users holistically so as to serve users and merchants better.
- Bring 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 and how” 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, research scientist, applied scientist, or machine learning engineer in a technology company.
- Effective written and verbal communication skills.
- Experience being a thought partner to improve decision quality and able to influence with expertise.
- Demonstrated experience working with ads products and data.
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 1-2 times/quarter and therefore can be situated anywhere in the country.
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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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.
Top Skills
Analytics
Data Science
Machine Learning
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