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Sr. Staff Quantitative Product Researcher

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. 

Pinterest is looking for a Sr. Staff Quantitative Researcher (Quant UXR) to lead quantitative research at the intersection of our consumer- and advertiser-facing orgs. We’re looking for a seasoned quantitative researcher ready to identify the most important ecosystem-level questions and to create and execute a learning agenda to address them. In this role, you’ll bring expertise in behavioral analysis, statistical modeling, and survey methods to design, execute, and communicate strategic research on a deadline in a fast-paced environment. You’ll uncover opportunities and solutions that balance engagement and revenue goals, present your results to senior audiences, and partner with other leaders to develop strategy that executes on our learnings. With this role, you’ll have ownership of a broad problem space, autonomy to set and execute the learning agenda, and impact over the holistic Pinner experience. 

 

What you’ll do:

  • Work across monetization teams and as needed collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem - questions with implications for the business and overall user experience
  • Proactively guide teams to the most important questions and problems to address for users and/or the business; set the quantitative learning agenda for Monetization and decide on the best approaches to address it
  • Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology, while balancing effort against priority and  impact
  • Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
  • Participate in the  development of user-centric metrics for Monetization teams while aiding in the development of core centric user metrics
  • Elevate topics from the learning agenda that would be best to present to senior leadership and tailor deliverables and socialization efforts for these audiences.
  • Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights, and own work to inform product and business decisions 
  • Lead strategic initiatives and actively engage in the development of strategy with Product, Design, Engineering, and Data Science partners
  • Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers

 

What we’re looking for:

  • 7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies; an advanced degree in Statistics, Mathematics, or Economics is a plus but not required
  • Experience with Ad product development/UX research preferred
  • Knowledgeable of relevant statistical concepts (significance testing, regression/linear models). 
  • Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)
  • Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting and strong SQL and Quantitative Programming skills (R, Python, etc.).
  • Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact)
  • Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (from ad sales executives to data scientists to high-level executives)
  • Adept communicator with a bias toward action and an excellent collaborator, able to build strong relationships within various cross functional teams within and outside of the monetization org.
  • Self-starter and problem solver who proactively partners with other (qual and quant) researchers and cross-functional partners, including Product, Data Science, Finance, Product Marketing, Content, Sales, Marketing, Comms, and Brand, to develop new research initiatives with high comfort working in ambiguity
  • Knows how to 'right size' research approach, i.e., when to deploy tried and tested tools and when to try something new
  • PhD preferred, in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience

 

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 

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 annually, and therefore can be situated anywhere in the country.

 

#LI-REMOTE

#LI-BD4

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
$158,950$327,000 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.
 

Average salary estimate

$242975 / YEARLY (est.)
min
max
$158950K
$327000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Staff Quantitative Product Researcher, Pinterest

At Pinterest, we inspire millions daily as a place where new ideas flourish! We're currently on the lookout for a passionate Sr. Staff Quantitative Product Researcher to join our vibrant team in San Francisco or remotely across the US. This role is not just about numbers; it's about uncovering the stories behind the data that help us elevate the Pinner experience. Imagine taking on the valuable responsibility of shaping the learning agenda that drives monetization strategies and enhances user engagement. With your deep expertise in behavioral analysis, statistical modeling, and survey methods, you will design and execute insightful quantitative research that addresses critical ecosystem-level questions. Daily, you’ll lead cross-functional projects, collaborate with product, design, and data science to make informed decisions, and articulate strategies based on your findings to senior leadership. If you enjoy being at the forefront of unearthing data-driven insights while fostering an inclusive work environment, we would love for you to apply your skills and energy at Pinterest, where your contributions will make a significant impact on our mission to help Pinners live their best lives.

Frequently Asked Questions (FAQs) for Sr. Staff Quantitative Product Researcher Role at Pinterest
What are the key responsibilities of a Sr. Staff Quantitative Product Researcher at Pinterest?

As a Sr. Staff Quantitative Product Researcher at Pinterest, you will define and address complex monetization questions, guide teams in prioritizing insights, and conduct impactful quantitative research. Additionally, you will work collaboratively with monetization and consumer teams to translate insights into strategic product decisions.

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What qualifications do I need to become a Sr. Staff Quantitative Product Researcher at Pinterest?

To be considered for the Sr. Staff Quantitative Product Researcher position at Pinterest, you should have at least 7+ years of experience in quantitative product/user experience research. While an advanced degree in Statistics, Economics, or Mathematics is a plus, proven experience leading end-to-end quantitative studies and strong skills in statistical analysis are essential for success.

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What skills are crucial for success as a Sr. Staff Quantitative Product Researcher at Pinterest?

Key skills for a Sr. Staff Quantitative Product Researcher at Pinterest include expertise in behavioral analysis, strong knowledge of statistical modeling techniques, and proficiency in various survey methodologies. Additionally, excellent storytelling abilities to present findings to diverse audiences and collaborative problem-solving skills are vital.

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How does Pinterest’s flexible work model, PinFlex, affect the Sr. Staff Quantitative Product Researcher role?

The Sr. Staff Quantitative Product Researcher role at Pinterest allows for flexibility under our PinFlex model. While collaboration is encouraged in person 1-2 times per year, you can primarily work remotely from anywhere in the US, allowing you to balance your professional and personal life effectively.

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What is the impact of a Sr. Staff Quantitative Product Researcher’s work on Pinterest's ecosystem?

The work of a Sr. Staff Quantitative Product Researcher significantly influences Pinterest’s ecosystem by identifying key insights that shape monetization strategies and enhance user experience. By addressing pressing ecosystem questions, your research ensures that product and business decisions are data-driven and aligned with user needs.

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Common Interview Questions for Sr. Staff Quantitative Product Researcher
Can you describe your experience with statistical modeling techniques relevant to a Sr. Staff Quantitative Product Researcher role?

When answering, highlight specific statistical models you've used in previous projects, linking them to relevant business outcomes. Discuss your understanding of concepts like regression analysis or significance testing and how these have influenced your research findings.

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How do you prioritize quantitative research projects at Pinterest?

Discuss your approach to evaluating the impact and priority of research questions. Explain how you align research objectives with business goals and user needs while showcasing your process for balancing resource allocation and project timelines.

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What methods do you utilize for gathering and analyzing user feedback?

Talk about various survey methodologies you've employed in previous roles. Include specific techniques such as MaxDiff, Conjoint Analysis, and focus on how these methods provide actionable insights that inform product decisions.

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Describe a challenging research project you led. What was the outcome?

Share a specific example of a project where you faced significant challenges, detailing the context, your approach to overcoming these hurdles, and the positive impact your findings had on the team or product.

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How do you engage non-technical stakeholders with your research findings?

Emphasize your storytelling skills and ability to tailor presentations to diverse audiences. Provide examples of how you've communicated complex data insights effectively to stakeholders in marketing, sales, or executive teams.

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What experience do you have with cross-functional collaboration?

Share specific instances where you've successfully partnered with product, design, and engineering teams, stressing how you contributed to shared goals and how collaboration enriched your research outcomes.

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How do you ensure your research aligns with user-centric metrics?

Discuss your process for developing and validating user-centric metrics and ensure they are aligned with broader business objectives. Use examples to illustrate how these metrics have led to improvements in user experience or monetization.

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What have you learned about the importance of quantitative research in driving business decisions?

Reflect on your experiences where quantitative research has led to shifts in strategy or direction, emphasizing your understanding of its role in shaping informed business decisions that benefit both users and the company.

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Can you explain your experience with SQL and quantitative programming languages?

Detail your proficiency with SQL and programming languages like R or Python, giving examples of how you used them in data analysis and research processes. Highlight specific projects where analytical skills played a crucial role.

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What strategies do you implement when research results are ambiguous or inconclusive?

Discuss your approach to re-evaluating research questions, gathering additional data, or experimenting with alternative methodologies to gain clearer insights. Stress the importance of being adaptable and open to new research paths.

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Our mission is to bring everyone the inspiration to create a life they love.

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