Director, Data Science
Material
PythonSQL
Staff Data Scientist, Personalization – Shopping
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $163,064 - $335,720 per year
Job Level
Lead
Tech Stack
PythonSparkSQL
About the role
- Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner’s shopping experience.
- Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations.
- Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.
- Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.
- Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process.
- Mentor and up-level junior data scientists on the team.
Requirements
- 7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
- Strong interest and experience in recommendation systems and causal inference.
- Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark).
- Ability to work independently and drive your own projects.
- Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners.
- A team player eager to partner with cross-functional partners to quickly turn insights into actions.
- Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
Benefits
- equity
- Competitive salary
- Flexible working hours
- Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisrecommendation systemscausal inferencequantitative programmingPythonRSQLSparkdata manipulationstatistical methods
Soft skills
communication skillsteam playerindependent workmentoringcollaborationproactive communicationimpact focusrelationship buildingproblem-solvingcross-functional teamwork
Certifications
Bachelor’s degreeMaster’s degree
