Millions of people across the world come to Pinterest to find new ideas every day. Its where they get inspiration dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent.
As Pinterest continues to scale we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision we are looking for data scientists to jump start Pinterests Marketing Science team. You will take end-to-end ownership of designing researching building and delivering data products as well as collaborate with XFNs to formulate experiment and evolve Pinterests best practice guides to advertiser performance. You will support strategic planning marketing events earnings releases and other efforts with powerful data narratives.
What youll do :
- 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.
What were looking for :
MS or PhD in a quantitative field or equivalent experience8 years of experience applying data science to solve real-world problems on web-scale dataDomain expertise about ads platforms and products particularly around measurement and performanceStrong fundamentals in statistics particularly experimentation and causal inferenceProficiency 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.In-Office Requirement Statement :
We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.This role will need to be in the office for in-person collaboration 1x week and therefore needs to be in a commutable distance from one of the following offices : Seattle San Francisco and Palo Alto.Relocation Statement :
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.#LI-NM4
#LI-HYBRID
Required Experience :
Staff IC
Key Skills
Laboratory Experience,Bioinformatics,Biochemistry,Utility Locating,Assays,Research Experience,Next Generation Sequencing,Sensors,Signal Processing,Matlab,Research & Development,Molecular Biology
Employment Type : Full-Time
Experience : years
Vacancy : 1