Senior Data Scientist, Analytics Engineer - Central Strategy and Insights

Airbnb is a mission-driven company dedicated to helping create a world where anyone can belong anywhere. It takes a unified team committed to our core values to achieve this goal. Airbnb's various functions embody the company's innovative spirit and our fast-moving team is committed to leading as a 21st century company.

About the position:

Analytics Engineers (AE) build the data foundation for reporting, analysis, experimentation, and machine learning at Airbnb. We are looking for someone with expertise in metric development, data modeling, SQL, Python, and large scale distributed data processing frameworks like Presto or Spark. Using these tools, you will transform data from data warehouse tables into valuable data artifacts that power impactful analytic use cases (e.g. metrics, dashboards). You will sit at the intersection of data engineering and analytics, and work collaboratively to achieve highly impactful outcomes.

This role will be part of the Central Strategy and Insights team. We are responsible for Airbnb-wide exec reporting and strategic analysis, as well metrics and analysis on the hosting side of our business. 

Data can transform how a company operates; high data quality and tooling is the biggest lever to achieving that transformation. You will make that happen.

Your Responsibilities:

• Understand data needs by interfacing with fellow Analytics Engineers, Data Scientists, Data Engineers, and Business Partners
• Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
• Design and develop accessible dashboards and reports to enable self-serve data consumption
• Design, define, and implement metrics and dimensions to enable analysis and modeling
• Become a data expert in your business domain and own data quality
• Build tools for auditing, error logging, and validating data tables
• Build and improve data tooling in partnership with internal Data Platform teams 

Required Qualifications:

• Passion for high data quality and scaling data science work
• 4+ years of relevant industry experience
• Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hive)
• Expert in at least one programming language for data analysis (e.g. Python, R)
• Experience in schema design and dimensional data modeling
• Ability to perform basic statistical analysis to inform business decisions
• Proven ability to succeed in both collaborative and independent work environments
• Detail oriented and excited to learn new skills and tools

Preferred qualifications:

• Experience with an ETL framework like Airflow
• Python, Scala, Superset, and Tableau skills preferred
• An eye for design when it comes to dashboards and visualization tools
• Familiarity with experimentation and machine learning techniques