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Master's Data Science Internship 2027 (USA)

Pinterest

NEW YORK, NYFull-timeSeen 6 days agoSeen in employer's feed 6 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Role Type
Internship
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Pinterest is seeking Data Science interns to use quantitative analysis, statistical techniques, modeling, and data mining to shape product development and help teams evaluate potential changes. Interns will analyze user behavior, develop metrics, support experimentation, and communicate insights with cross-functional partners. The 12-week paid internships have fixed May or June 2027 start dates and may be remote or hybrid in several listed office locations.

Skills & qualifications

RequiredNice to have

Skills

Data ManipulationSQLPythonRQuantitative AnalysisMachine LearningStatistical ModelingForecastingEconometricsCommunicationBusiness AnalysisCritical ThinkingAI Validation

Qualifications

Master's in Statistics, Mathematics, Economics, Applied Sciences, Computer Science or Related Field

Full job description

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 theflexibility 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.We're looking for Data Science interns 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.Note to applicants:By applying to this role, you will be considered for multiple intern roles open across our various DS teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.We offer 2 internship start dates: * May 17, 2027 - August 6, 2027 * June 14, 2027 - September 3, 2027What 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: * Currently pursuing a 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 * Ability to connect data analysis to real business problems, in order to impact business performance. * Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, s

How this job compares

Set against the 1,740 open Data Science jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This postingNot listed
  • New York median$160–245K/yr144 salary ranges
  • US median$25–40/hr104 hourly ranges
Openings
Olive Jobs lists 176 open Data Science jobs in New York and 1,740 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Data Science postings that state a minimum ask for 6 years of experience at the median; the middle half ask for 4 to 8 years (1,400 postings).
Education
This posting asks for a master's degree; 273 of the 1,740 open Data Science jobs (16%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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