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About the Role

As a Data Scientist in the Core organization, you will shape the future of people-facing and business-facing products at Pinterest. Your expertise in quantitative modeling, experimentation, and algorithms will be used to solve complex engineering challenges. You will collaborate with cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering, and others to influence product development and introduce scientific rigor into products serving hundreds of millions of users.

Responsibilities

Develop best practices for instrumentation and experimentation and communicate them to product engineering teams.
Apply scientific rigor and statistical methods to product creation, development, and improvement challenges.
Build and prototype analysis pipelines to provide insights at scale.
Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
Collaborate with product managers, engineers, designers, and researchers to build new experiences on Pinterest.

Requirements

5+ years of experience analyzing data in a fast-paced, data-driven environment.
Proven ability to apply scientific methods to solve real-world problems on web-scale data.
Extensive experience solving analytical problems using quantitative approaches including Machine Learning, Statistical Modeling, Forecasting, Econometrics, or related fields.
Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow, or scikit-learn.
A scientifically rigorous approach to analysis and data, with skepticism, attention to detail, and commitment to high-quality, results-oriented output.
Ability to manipulate large data sets with high dimensionality and complexity.
Fluency in SQL (or other database languages) and a scripting language (Python or R).
Excellent communication skills and ability to explain learnings to both technical and non-technical partners.
Ability to partner with cross-functional leadership to turn insights into actions.
Bachelor’s degree in Computer Science, a related field, or equivalent experience.

Skills

Machine Learning
Statistical Modeling
Forecasting
Econometrics
PyTorch
TensorFlow
scikit-learn
SQL
Python
R

Location

US based

Work Type

Hybrid

Experience Level

5+ years

Education Level

Bachelor's degree in Computer Science or related field, or equivalent experience

Salary/Compensations

$139,764—$287,749 USD

Benefits

Equity
Information regarding the culture at Pinterest and benefits available for this position can be found here.

About the Company

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 the flexibility to do your best work.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact.
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.

Equal Opportunity

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.