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Pinterest · 1 day ago

Staff Data Scientist, Marketing Science

Seattle, WA

Full-time

Hybrid

Lead/Staff

$194K/yr - $339K/yr

8+ years exp

Pinterest is a platform where millions find creative ideas and inspiration. The role involves taking ownership of designing and delivering data products while collaborating with cross-functional teams to enhance advertiser performance through insightful analyses and actionable recommendations.

InternetSocial BookmarkingSocial MediaSocial NetworkSoftware

Comp. & Benefits

No H1B

Responsibilities

Research and analyze what drives performance on our platform for advertisers

Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction

Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc

Creating and tracking metrics around advertiser value

Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success

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

Leadership: 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

Qualification

Data science experienceStatistics expertiseSQL proficiencyPython proficiencyAds platform knowledgeExperimentation techniquesCommunicationLeadership skills

Required

MS or PhD in a quantitative field or equivalent experience

8+ years of experience applying data science to solve real-world problems on web-scale data

Domain expertise about ads platforms and products, particularly around measurement and performance

Strong fundamentals in statistics, particularly experimentation and causal inference

Proficiency in common data science coding languages such as SQL and Python

Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders

Strong communication skills. Explains work and thought processes clearly, concisely and convincingly