Lead Advanced Analytics Specialist

Role Overview: As a Lead Advanced Analyst at Airbnb's Analytics Centre of Excellence (ACOE) in Gurgaon, you will be a key member of the team responsible for providing data-driven decision-making support to Airbnb's business goals. Your role will involve working with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms, and partnerships & economics. You will be central to building a world-class analytics organization that provides scalable, AI-enabled analytics. Key Responsibilities: - Serve as the primary data thought partner to product and business leaders across Community Support, providing strategic insights, recommendations, and enabling data-informed decisions at an organizational level. - Drive day-to-day product analytics and create scalable, reusable data tools and frameworks to enhance the team's analytical capability. - Build and scale advanced analytical capabilities using Airbnb's state-of-the-art machine learning infrastructure and central data science tools to collaborate with cross-functional teams. - Champion AI-first analytics practices by identifying high-impact opportunities to integrate LLM-based tools, AutoML, and advanced AI capabilities into analytical workflows. - Mentor and guide junior analysts, fostering a culture of analytical rigor, curiosity, and continuous skill development. Qualifications Required: - 8+ years of industry experience with an advanced degree (Master's or PhD is a plus) in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research. - Expert-level SQL skills with a strong understanding of ETL/ELT pipelines and data transformation tools. - Proficiency in Python (pandas, numpy, scikit-learn, statsmodels) for programming and statistical modeling, including advanced regression techniques, time-series analysis, and causal inference. - Experience in A/B testing, multivariate testing, and experiment design, as well as digital funnel and cohort analysis. - Proficiency in ML techniques such as linear/logistic regression, SVM, random forest, NLP, KNN, and K-means, with hands-on experience in LLMs and AI tools. - Strong visualization skills using Tableau, Power BI, or equivalent platforms, along with knowledge of Presto, Hive, Teradata, and Spark for data foundations. - Experience in forecasting, econometric modeling, and responsible AI principles including bias detection and compliance with data privacy regulations. - Exceptional communication, problem-solving, mentoring, and coaching skills with a positive, solution-oriented mindset and the ability to work in a cross-cultural environment. Please note, this role is based in Gurugram, India, and relocation is not offered at this time. The role may offer a competitive salary range, bonuses, incentives, equity programs, benefits, and Employee Travel Credits. Airbnb is committed to diversity and encourages all qualified individuals to apply. Role Overview: As a Lead Advanced Analyst at Airbnb's Analytics Centre of Excellence (ACOE) in Gurgaon, you will be a key member of the team responsible for providing data-driven decision-making support to Airbnb's business goals. Your role will involve working with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms, and partnerships & economics. You will be central to building a world-class analytics organization that provides scalable, AI-enabled analytics. Key Responsibilities: - Serve as the primary data thought partner to product and business leaders across Community Support, providing strategic insights, recommendations, and enabling data-informed decisions at an organizational level. - Drive day-to-day product analytics and create scalable, reusable data tools and frameworks to enhance the team's analytical capability. - Build and scale advanced analytical capabilities using Airbnb's state-of-the-art machine learning infrastructure and central data science tools to collaborate with cross-functional teams. - Champion AI-first analytics practices by identifying high-impact opportunities to integrate LLM-based tools, AutoML, and advanced AI capabilities into analytical workflows. - Mentor and guide junior analysts, fostering a culture of analytical rigor, curiosity, and continuous skill development. Qualifications Required: - 8+ years of industry experience with an advanced degree (Master's or PhD is a plus) in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research. - Expert-level SQL skills with a strong understanding of ETL/ELT pipelines and data transformation tools. - Proficiency in Python (pandas, numpy, scikit-learn, statsmodels) for programming and statistical modeling, including advanced regression techniques, time-series analysis, and causal inference. - Experien