Opportunity at
PinterestSr. Data Scientist, Core
Pinterest seeks a Sr. Data Scientist, Core to join its team in San Francisco on a full-time, on-site basis. The platform serves millions of users worldwide…
Career Tools
About This Role
Pinterest seeks a Sr. Data Scientist, Core to join its team in San Francisco on a full-time, on-site basis. The platform serves millions of users worldwide who look for creative concepts, planning tools, and inspiration to build lives they love. In this position, the professional will shape consumer and business offerings through advanced quantitative modeling, experimentation, and algorithmic development. This role suits an analytical specialist capable of tackling intricate engineering…
Job Description
Pinterest seeks a Sr. Data Scientist, Core to join its team in San Francisco on a full-time, on-site basis. The platform serves millions of users worldwide who look for creative concepts, planning tools, and inspiration to build lives they love. In this position, the professional will shape consumer and business offerings through advanced quantitative modeling, experimentation, and algorithmic development.
This role suits an analytical specialist capable of tackling intricate engineering problems and introducing scientific rigor into everyday products utilized by creators, advertisers, merchants, and pinners globally. The professional will partner closely with engineering, product management, design, research, and data analytics groups. Key duties involve designing instrumentation best practices, iterating on analysis pipelines, and converting complex findings into actionable product improvements.
Applicants must possess substantial data analysis experience within fast-paced environments, along with strong skills in statistical methods, machine learning, and database languages. The employer provides compensation that includes equity and a base salary range between $139,764 and $287,749 USD for US-based applicants, though relocation assistance is not available for this role.
Responsibilities
- Create and share instrumentation and experimentation best practices with product engineering teams
- Apply statistical techniques and scientific rigor to product creation, improvement, and development efforts
- Build and prototype iterative analysis pipelines to deliver insights at scale while learning data structures and metrics
- Collaborate across functions with product managers, engineers, designers, and researchers to design new platform experiences
Requirements
- Have at least five years of data analysis experience in a fast-paced, data-driven setting
- Demonstrate the ability to apply scientific methods to solve real-world problems using web-scale data
- Possess extensive background in solving analytical challenges through quantitative approaches like Machine Learning, Statistical Modeling, Forecasting, or Econometrics
- Utilize machine learning and deep learning frameworks including PyTorch, TensorFlow, or scikit-learn
- Show fluency in SQL or other database languages alongside a scripting language such as Python or R
- Demonstrate strong communication skills to explain findings to technical and non-technical stakeholders
Qualifications
- Hold a Bachelor’s degree in Computer Science, a related field, or have equivalent work experience
Core Skills
Benefits
- Eligible for equity in addition to base salary
Frequently Asked Questions
What is the location and remote status for this role?
This is a full-time position based on-site in San Francisco, and the posting states that it is not eligible for relocation assistance.
What is the salary range for the Sr. Data Scientist, Core position?
For US-based applicants, the base salary range is $139,764 to $287,749 USD, and the position is also eligible for equity. Final compensation depends on factors such as location, travel, relevant prior experience, and specific skills.
What are the core experience requirements?
Candidates must have at least five years of data analysis experience in a fast-paced, data-driven environment, with a strong background in quantitative approaches like machine learning, statistical modeling, econometrics, or forecasting.
How do I apply or request accommodations?
The posting does not specify a step-by-step application link, but notes that applicants needing medical or religious accommodations during the hiring process can complete a provided support form.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.