Lead - Advanced Analytics, Gurgaon

8+ years of industry experience with an advanced degree (Master's or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).

Expert-level SQL; complex query optimization, performance tuning, and schema design; strong understanding of ETL/ELT pipelines; working knowledge of data transformation tools.

Programming & Statistical Modeling: Advanced proficiency in Python (pandas, numpy, scikit-learn, statsmodels); ability to build and deploy end-to-end analytical models; experience with advanced regression techniques, time-series analysis, and causal inference.

Experimentation & Analytical Frameworks: Expert-level A/B testing and multivariate testing; advanced experiment design including power analysis, switchback testing, and quasi-experimental methods (diff-in-diff, regression discontinuity); digital funnel and cohort analysis.

Machine Learning & AI (Proficient): Proficiency in ML techniques including EDA, hypothesis testing, linear/logistic regression, SVM, ridge/lasso regression, random forest, NLP, KNN, and K-means; hands-on experience with LLMs (e.g., ChatGPT, Gemini, Claude) and applied prompt engineering; ability to independently deploy AI tools to solve analytical problems; awareness of responsible AI, data privacy (GDPR/CCPA), and bias mitigation.

Experience with forecasting and advanced econometric modeling is a requirement.

Visualization & Storytelling: Advanced proficiency in Tableau, Power BI, or equivalent BI platforms; ability to design and build executive-level dashboards and self-serve analytics portals; strong data storytelling and presentation skills for senior leadership audiences.

Data Foundations: Strong working knowledge of Presto, Hive, Teradata, and Spark; experience designing scalable data models for analytical consumption.

AI tool proficiency: Independently applies AI tools (LLMs, AutoML, NLP pipelines) to solve complex business problems.

Designs and implements AI-enhanced analytical workflows that can be adopted team-wide.

Evaluates and selects appropriate AI models for specific use cases; understands trade-offs between model complexity, interpretability, and performance.

Champions responsible AI principles including bias detection, model fairness, and compliance with data privacy regulations (GDPR/CCPA).

Contributes to AI-first culture by sharing best practices, running enablement sessions, and identifying new AI use cases.

Proven ability to lead and influence cross-functional teams and senior stakeholders in a cross-cultural environment without direct authority.

Exceptional communication skills; able to translate complex analytical findings into clear, actionable narratives for both technical and non-technical audiences.

Proven track record of delivering full-stack data projects from inception to measurable business impact.

Strong mentoring and coaching skills; demonstrated ability to develop junior talent.

Positive, solution-oriented mindset with the ability to maintain confidentiality and objectivity.

Exceptional problem-solving abilities, self-motivation, and autonomy; strong organizational and time management skills with the ability to manage multiple high-priority workstreams and meet deadlines.

Proficiency in agile project management practices and tools (e.g., Jira/Asana).

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.

Please note, this role is based in Gurugram, India and relocation is not offered at this time.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.