Staff Data Scientist, Marketing Science
Staff Data Scientist, Marketing Science
Job Description
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
- Create and track 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
- 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
Qualifications
- 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
Locations
- San Francisco, CA, US; Seattle, WA, US
Salary
193,759 - 339,078 USD / yearly
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Pythonintermediate
- Statistics, particularly experimentation and causal inferenceintermediate
- Experimentationintermediate
- Causal inference techniquesintermediate
- Communication skillsintermediate
Required Qualifications
- MS or PhD in a quantitative field or equivalent experience (experience)
- 8+ years of experience applying data science to solve real-world problems on web-scale data (experience)
- Domain expertise about ads platforms and products, particularly around measurement and performance (experience)
- Strong fundamentals in statistics, particularly experimentation and causal inference (experience)
- Proficiency in common data science coding languages such as SQL and Python (experience)
- Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders (experience)
- Strong communication skills. Explains work and thought processes clearly, concisely and convincingly (experience)
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
- Create and track 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
- 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
Tags & Categories
Staff Data Scientist, Marketing Science
Staff Data Scientist, Marketing Science
Job Description
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
- Create and track 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
- 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
Qualifications
- 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
Locations
- San Francisco, CA, US; Seattle, WA, US
Salary
193,759 - 339,078 USD / yearly
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate
- Pythonintermediate
- Statistics, particularly experimentation and causal inferenceintermediate
- Experimentationintermediate
- Causal inference techniquesintermediate
- Communication skillsintermediate
Required Qualifications
- MS or PhD in a quantitative field or equivalent experience (experience)
- 8+ years of experience applying data science to solve real-world problems on web-scale data (experience)
- Domain expertise about ads platforms and products, particularly around measurement and performance (experience)
- Strong fundamentals in statistics, particularly experimentation and causal inference (experience)
- Proficiency in common data science coding languages such as SQL and Python (experience)
- Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders (experience)
- Strong communication skills. Explains work and thought processes clearly, concisely and convincingly (experience)
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
- Create and track 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
- 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
Tags & Categories