Description
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
- MS or PhD in a quantitative field or equivalent experience
- 8+ years of combined postgraduate academic and industry experience.
- 3+ years of experience in managing teams of data scientists, fostering a culture of innovation, collaboration, accountability, 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.
- Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
- Effective written and verbal communication skills and ability to craft compelling data narratives.
- Experience with hypothesis driven product development and developing analytical frameworks.
- Experience being a thought partner to improve decision quality and able to influence with expertise
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
- Proven ability to apply scientific methods to solve real-world problems on web-scale data
- Expertise in at least one scripting language (ideally Python/R)
- Proficiency in SQL/Hive
- 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 through compelling data narratives.
- Experience working closely with cross-functional teams, iterating on a user product via A/B experimentation.
- Experience leading key technical projects and substantially influencing the scope and output of others
What skills are ideal but not required?
- Experience working in a Growth function, in particular experience with new user activation, user retention and/or notifications.
- Experience working on Search and Recommendations systems.
- Experience working on a daily/weekly use app with business goals of increasing DAU/WAU/MAU
This position is not eligible for relocation assistance.
#LI-NM4 or #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
$174,175—$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 completethis form for support.