Data Scientist

About the role

Pinterest is a platform where millions of people discover creative ideas, dream about new possibilities, and plan for memorable moments. We're on a mission to inspire everyone to create the life they love, and we're seeking passionate individuals to join our team.

Responsibilities

• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams.
• Solve analytical problems using quantitative approaches like Machine Learning, Statistical Modeling, Forecasting, Econometrics, or related fields.
• Use machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn to build and prototype analysis pipelines.
• Collaborate with cross-functional partners including Product Managers, Engineers, Designers, Researchers, and Data Engineers to build the next experiences on Pinterest.

Requirements

• 4+ 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.
• Experience using machine learning and deep learning frameworks.
• A scientifically rigorous approach to analysis and data, with a strong sense of skepticism, attention to detail, and commitment to high-quality output.
• Fluency in SQL and a scripting language (Python or R) to manipulate large data sets with high dimensionality and complexity.

Qualifications

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.

Skills

• Strong quantitative modeling and experimentation skills.
• Expertise in algorithms and their application to product development and improvement.
• Excellent communication skills to explain learnings to both technical and non-technical partners.

Benefits

No benefits provided for this position.

Pay

$101,382—$209,296 USD

Schedule

The position is not eligible for relocation assistance.

Our Commitment to Inclusion

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.