Master's University Grad Data Scientist (USA)
Summary
New-grad (master's level) Data Scientist at Pinterest working across multiple data science teams: analyzing large-scale user data, designing core metrics, and designing/evaluating A/B experiments to guide product decisions. Core tools are SQL, Python or R, statistical modeling, and machine learning.
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.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.
By applying to this role, you will be considered for multiple roles open across our various data science teams.
We’re looking for a Data Scientist to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners.
The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products.
What you’ll do:
- Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation.
- Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics.
- Explore alternative experimentation techniques to help internal teams evaluate their ideas faster.
- Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
What we’re looking for:
- Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field.
- Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R)
- experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields
- Excellent communication skills and the ability to explain learnings to both technical and non-technical partners
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Ability to connect data analysis to real business problems, in order to impact business performance.
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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
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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.
Our Commitment to Inclusion:
Skills
As published by greenhouse · 8 questions · 1 written answer
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter
Short answers (2)
- LinkedIn Profile optional
- Website optional
Pick from a list (5)
- What U.S State do you currently reside in?
- Are you legally authorized to work in the country in which you are applying for a position?
- Will you now or in the future require employer sponsorship or other employer assistance to obtain, extend, or maintain authorization to work in the country in which you are applying for a position?
- The start date for this role falls in 2027. Are you able to start between January 2027 and September 2027?
- By August 2027, will you obtain your Masters Degree in Data Science or a related field at an accredited four year institution?
Written answers (1)
- If you do require employee sponsorship or assistance for work authorization, please list the type of support you may require. optional
