Lead, Advanced Analytics, Trust & Safety
Lead, Advanced Analytics, Trust & Safety
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1 Vacancy
Job Description
The Community You Will Join:
We are looking for an Advanced Analytics Lead to help Airbnb enable travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders within our Trust organization. The Trust organization protects guides and mobilizes the creation and defense of trust in our community and on our platform.
The Trust Experience Analytics team within Global Operations enables facilitates and streamlines integrated data-driven decision making across the Trust Product Operations & Policy organizations. The team is committed to operational excellence and community experience through a culture of problem-solving guided by data and research. We inject quantitative measurements into our user journey product defense and frictions processes and implement objective indicators of success.
The Difference You Will Make:
You will be a part of a Trust product & operations data squad composed of product managers engineers ops analysts data analysts and data scientists designing and building scalable and robust products and systems to detect and support the mitigation of fraud activities across the entire platform (Account Integrity Content Integrity Financial Fraud Safety Identity etc.). You will both develop and support the creation of robust data insights through cross-functional partnerships and will utilize and help to strengthen and improve the end-to-end trusted user journey (pre-trip on-trip and post-trip). You will create data narratives and influence experimentation platforms to guide the seamless execution of new products processes and systems balancing the safety and expression needs of our community and business and operational challenges.
In addition you will leverage Airbnbs rich and unique data state-of-art machine learning infrastructure and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build and will have the opportunity to collaborate with a strong team of engineers product managers designers and operations agents to achieve shared cross-functional goals to help keep Airbnbs community safe and trusted.
- You are passionate about solving complex problems within the Trust & Safety domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
- You are highly proficient in building and analyzing analytical frameworks statistical models and experimentation methods to establish and communicate causal relationships
- You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey
A Typical Day:
- Lead and drive data-driven product roadmap for the Trust - Safety & Identity working groups. Recommend actionable solutions backed by data and metrics to product problems with the ability to effectively communicate with Product & Engineering managers of varying technical levels
- Build the business insights & reporting platform to detect and support the mitigation of potential fraud behavior and actors across the Airbnb platform
- Perform data modeling of the various entities involved in the Trust creation and defense including hosts guests agents and others using tools & frameworks for optimizing community end-to-end journey by minimizing undesired frictions while introducing proactive product defenses on our platform
- Defining and evaluating key metrics in an unstructured problem space including measurement of the ML models that drive product development. Communicating a robust understanding of what moves these metrics and why
- Influence data-driven decisions across business verticals in day-to-day via business reviews scorecards self-serve portal OKRs and planning among others
- Influence experimentation & measurement strategies; conduct power analyses define exit criteria and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space
Your Expertise:
- A minimum of 5 years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g. Statistics Econometrics Computer Science Engineering Mathematics Data Science Operations Research).
- Must have Have experience supporting trust and safety team and/or have worked closely with policy content moderation or security teams
- Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). Experience with non-experimental causal inference methods experimentation and machine learning techniques ideally in a multi-sided platform setting
- Working knowledge of schema design and high-dimensional data modeling (ETL framework like Airflow)
- Ability to work under conditions of ambiguity in a fast-growth sometimes uncertain and complex environment - comfortable acting with minimal planning direction and supervision. You can identify issues both within and outside of your immediate scope and propose solutions.
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites as agreed to with your manager. While the position is Remote Eligible you must live in a state where Airbnb Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement and allow us to attract creatively-led people and to develop the best products services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application please contact us at: . Please include your full name the role youre applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Employment Type
Full Time
