Description
We're looking for Data Science interns to help evolve and shape the future of our product. You'll apply quantitative analysis, statistical techniques, modeling, and data mining while working cross-functionally with engineering and product partners.
Responsibilities:
- Influence and evolve our product roadmap using data and exploratory analysis to understand user behavior and trends
- Design and implement core metrics that serve as the north stars for team efforts
- Explore alternative experimentation techniques to help internal teams evaluate their ideas faster
- Help gather explicit signals about Pinner, Merchant, Creator, or Advertiser preferences and tastes using survey methodologies and statistical/modeling based approaches
- Work cross-functionally to build and communicate key insights
Requirements:
- Currently pursuing a PhD 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
- Excellent communication skills and the ability to explain learnings to both technical and non-technical partners
Internship details:
- 12 weeks paid
- Fixed start dates in May or June
- Locations: San Francisco, Palo Alto, New York, or Seattle offices
- Remote or hybrid work arrangements available
Salary: $12,100 monthly
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/pinterest/jobs/8140169