Staff Data Scientist, Personalization & Shopping

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Pinterest is the worlds leading visual search and discovery platform serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content at the right time in the best user-friendly way. We do this through a combination of innovative product interfaces and sophisticated recommendation systems.

We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system and generate insights and robust methodologies to answer the why. The results of your work will influence our development teams and drive product innovation.

What youll do:

Ensure that our recommendation systems produce trustworthy high-quality outputs to maximize our Pinners 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.

What were looking for:

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.
Bachelors/Masters degree in a relevant field such as Computer Science or equivalent experience.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

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Required Experience:

Staff IC

What youll do:

Ensure that our recommendation systems produce trustworthy high-quality outputs to maximize our Pinners 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.

What were looking for:

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.
Bachelors/Masters degree in a relevant field such as Computer Science or equivalent experience.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement: