Staff Data Scientist, Query Tools & Data Warehouse
Palo Alto, CA, US; Remote, US
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.
Data is the backbone of both innovation and decision-making at Pinterest. We have over an exabyte of data, 400k+ data tables, and 1000+ employees issuing 3M+ queries to our data warehouse per month, using data for numerous purposes from ML model training to forecasting to opportunity sizing to decision-making across sales, finance, marketing,engineering, product, design, analytics, and data science.
The tools we have to access and derive insights on this data play a crucial role in what insights can be derived and how quickly, how the data is interpreted, and whether the data can be trusted. This layer between the customers and the data plays a crucial role in the productivity of our employees and the quality and speed of decisions that are made on the data. In this role, you will shape how effectively customers can derive insights from the data, from innovations in how we bring natural language to queries, to mechanisms to generate visualizations, to approaches to derive insights on sub-samples of data, and more. You will be a key member of an organization of talented data scientists innovating on data platforms and tools across the company.
We are looking for an experienced and highly capable Data Scientist to help us drive the next step function of analytical velocity at Pinterest.
What you’ll do:
- Apply data science and analytics to identify opportunities to improve our data warehouse and query tools -- from visualizations to table structure to query improvements to warehouse design, quantify the impact these improvements will have on our pace of innovation, and prototype solutions that measurably improve the outcome for the platform.
- Build a roster of high-impact analytical opportunities that improve velocity, clarity and trust with which employees interact with data through our in-house tooling and data warehouse.
- Collaborate with customers of the platforms to understand whether data observations reflect their problems and pain-points, and with engineers to scale your successful prototypes to become integral components of the platform.
- Up-level data scientists across the organization through mentorship, partnership and constructive feedback.
- Evolve our data warehouse and query tools strategy in close partnership with product and engineering leaders by building on the learnings uncovered by yourself and partners and shaping the evolution of our query tools and data warehouse.
What we’re looking for:
- 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data.
- 5+ years of hands-on experience as an individual contributor using a deep understanding of scientific methods applied to data to drive business decisions.
- Proven track record of crafting high quality algorithmic code and identifying opportunities for efficiency and performance improvements.
- A mastery of SparkSQL/Presto/Hive.
- In-depth understanding of data warehousing, and big data-query tooling.
- Demonstrated execution and impact on cross-functional initiatives, strong communication skills, and a track record of influencing leaders and peers using data.
- Self-propelled continuous learner who keeps up with new tools and methodologies and builds prototypes with concepts learned.
- Strong business and product sense who can shape vague questions into well-defined analyses and success metrics that drive business decisions.
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 per half and therefore can be situated anywhere in the country.
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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$148,049—$304,496 USDOur 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 an accommodation during the job application process, please notify accessibility@pinterest.com for support. ApplyJob Profile
In-office requirement Not eligible for relocation Not eligible for relocation assistance US based applicants only
Benefits/PerksCareer growth opportunities Equity Flexible work model Innovative work environment Mentorship
Tasks- Collaborate
- Collaborate with engineers
- Enhance query tools
- Improve data warehouse
- Mentor data scientists
- Prototype solutions
Accessibility Analytical Analytics Big Data Collaboration Communication Data Science Data Warehouse Data Warehousing Design Engineering Execution Finance Forecasting Hive Innovation Machine Learning Marketing Mentorship ML Product Sense Prototyping Query Tools Strategy Visualization
Experience8 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9