Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
A/B Testing @ 7
AI @ 4
Agentic AI @ 3
Communication @ 6
Customer Support
Data Analysis @ 6
Data Pipelines @ 4
Data Science @ 4
Deep Learning @ 6
Experimentation @ 7
LLM @ 4
LangChain @ 4
Machine Learning @ 6
Mathematics @ 6
NLP @ 6
Observability @ 3
Python @ 7
SQL @ 7
Statistics @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Airbnb is looking for a hands-on Staff Advanced Analyst to build analytical solutions, provide insights and recommendations, and enable data-driven decisions for product and business leaders within the Customer Support organization. The role supports contact center products, including AI Assistant, IVR, and agent-assisting tools.
Responsibilities
- Act as a data thought partner to product and business leaders across marketplace teams.
- Drive day-to-day product analytics and build scalable analytical solutions.
- Own the product analytics roadmap, prioritization, and delivery for the Contact Center Product space.
- Manage projects from start to finish, including timelines, milestones, stakeholder updates, and delivery against agreed timelines.
- Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness.
- Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows.
- Lead the design and evaluation of A/B tests and causal tests to quantify the impact of AI features and optimizations.
- Translate insights into strategic recommendations for senior leaders and shape product priorities through data.
- Hire, mentor, and develop team capabilities in AI analytics, experimentation best practices, and data storytelling.
Requirements
- 12–18 years of industry experience.
- A degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research. A Master's degree or PhD is a plus.
- Expert communication and collaboration skills, with the ability to work effectively across internal teams in a cross-cultural and cross-functional environment.
- Ability to conduct rigorous analysis and communicate conclusions to technical and non-technical audiences.
- Strong expertise in Python, SQL, A/B testing platforms, and experimentation best practices.
- Expertise in exploratory data analysis, hypothesis testing, significance testing, regression, clustering, NLP and text mining, machine learning, deep learning, and language model fine-tuning.
- Understanding of LLM architectures, including prompt chains, retrieval augmentation, and orchestration frameworks such as LangChain or DSPy.
- Familiarity with agentic AI systems, human-in-the-loop design, and AI observability best practices.
- Experience partnering with internal teams to drive action and provide expertise in analytics, data science, experimental design, and measurement.
- Experience designing and building metrics, from conception through prototyping with data pipelines.
- Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions is a plus.
- Contact center and marketplace domain knowledge is a plus.
Compensation
The India annual base pay range is ₹4,410,000–₹6,300,000 INR. The range is annualized, inclusive of allowances, and subject to change. The role may also be eligible for bonuses or incentives, equity programs, benefits, and Employee Travel Credits.
Inclusion
Airbnb is committed to working with the broadest talent pool possible. Qualified individuals are encouraged to apply.
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