Senior Data Scientist

Pinterest; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

Pinterest is seeking a Senior Data Scientist in the Trust & Signals org to shape data-driven product decisions and raise scientific rigor across web-scale signals. You will collaborate across Product, Engineering, Design and Research to build robust analysis pipelines and communicate insights that influence product direction.

Expect to apply advanced statistics, machine learning, and experimentation methods to diverse problem areas, delivering actionable recommendations for pinners, creators,

Qualifications

• 5+ years of experience applying scientific methods to real-world, web-scale data problems.
• Fluency in SQL (or other database languages) and a scripting language (Python or R).
• Proven ability to design, run and analyze online experiments with robust statistical rigor.

Responsibilities

• Build and iterate analysis pipelines to deliver scalable insights.
• Collaborate with Product, Engineering, Design, Research, and Analytics to drive data-informed decisions.
• Shaping product and business problems with rigorous quantitative methods and experimentation.
• Communicate insights clearly to technical and non-technical partners to influence roadmap.

Skills

SQL

Python

R

Statistics

Experimentation

Communication

Machine Learning

Cross-functional collaboration

Job description

• We are looking for a Senior Data Scientist for the Trust & Signals org
• You will shape the future of people-facing and business-facing products we build at Pinterest
• Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company
• You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others
• The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world
• Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love
• Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners
• Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
• Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest

5+ 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 dataAbility to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented outputFamiliarity with online experiment and its pitfallsExtensive experience solving analytical problems using quantitative approaches including in the fields of Statistics, Machine Learning, Forecasting, Econometrics or other related fieldsExcellent communication skills and ability to explain learnings to both technical and non-technical partnersStatistical rigor. Can guide the team and others on statistically valid approaches to problemsA team player who’s able to partner with cross-functional leadership to quickly turn insights into actions