Senior Data Scientist

Summary

Join Pinterest as a Data Scientist and leverage your analytical skills to drive strategic decision-making. Conduct in-depth analyses to understand the impact of changes in the ads ecosystem and inform pricing strategies. Build segmentation models and design measurement strategies, advising on experimentation best practices. Mentor other data scientists, providing feedback and fostering a high-performing team. This role offers telecommuting flexibility and a competitive salary.

Requirements

• Master’s degree (or its foreign degree equivalent) in Computer Science, Data Science, Engineering (any field) or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field
• OR Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Data Science, Engineering (any field) or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field
• SQL
• Tableau /data visualization
• Statistical Modeling
• Python
• Spark
• A/B testing
• Information retrieval
• Causal Inference

Responsibilities

• Conduct strategic analysis to answer core questions such as trade-offs between metrics change, how to evaluate overall impact from changes in the ads ecosystem, opportunity sizing and analysis, and programmatic ad load adjustments
• Write clear, actionable analyses that help teams identify areas of improvement and investment
• Build segmentation models to assess supply to inform pricing strategy
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc
• Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc
• Creating and tracking success metrics
• Identify the right measures of success for engineering teams and help them track those metrics
• Break down high-level metrics into actionable segments
• This work may span from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data, etc. by advertiser over time)
• Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible
• Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance

Benefits

• Telecommuting is permitted
• Equity