Sr. Data Scientist, Monetization

About the role

Pinterest is a platform where millions of people discover creative ideas, dream about new possibilities, and plan for memories that will last a lifetime. We're on a mission to bring everyone the inspiration to create a life they love, and we're seeking candidates who are passionate about transforming passion into growth opportunities and celebrating each other's unique experiences.

Responsibilities

• Deep strategic analysis to answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?
• Opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on [insert context here]?
• Modeling: 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.
• Create and track 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.

Requirements

• Bachelor’s/Master’s degree in a relevant field such as Data Science, or equivalent experience.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong fundamentals in statistics, experimentation.
• Domain knowledge in ecosystem, ads, or real-time-bidding.
• Proven ability to apply scientific methods to solve real-world problems on web-scale data.
• Proficiency in SQL/Hive/Python.

Qualifications

• Experience with web-scale data and web-scale analytics.
• Experience with machine learning and statistical modeling.
• Experience with data visualization and dashboard development.
• Experience with data-driven decision making and experimentation.

Skills

• Data analysis and interpretation.
• Statistical modeling and machine learning.
• Data visualization and dashboard development.
• Data-driven decision making and experimentation.

Benefits

We offer a competitive compensation package, including a base salary range of $164,428—$287,749 USD for US based applicants, plus equity and comprehensive benefits. For more information about our benefits and culture, visit our PinFlex page.

Pay

$164,428—$287,749 USD

Schedule

Full-time

Equal Opportunity Employer

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.