Senior Data Science Analytics Engineer, Customer Service Platform

Senior Data Science Analytics Engineer, Customer Service Platform

Airbnb has become a global platform that connects travelers and hosts in approximately 100,000 cities around the world. Our mission is to enable a world where anyone can belong anywhere. 

About the position:

Analytics Engineers 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 science and data engineering, and work collaboratively to achieve highly impactful outcomes.

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.

About the Team:

The Community Support Platform team is building a technology platform that supports Airbnb as it scales, delivering an exceptional level of customer service while also improving efficiency and the customer service agent experience. Data Science is key to this vision.

We are seeking a Data Scientist to join our strong Seattle office team to lead a variety of efforts to ensure a solid data foundation supports this project. You will collaborate with a team of fellow data scientists, engineers, designers, and product managers located in San Francisco and Seattle. In addition, you will leverage Airbnb’s rich and unique data, state-of-art machine learning infrastructure, and other central data science tools.

Your Responsibilities:

• Understand data needs by interfacing with fellow data scientists, data engineers, and business partners
• Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
• Design, define, and implement metrics and dimensions to enable analysis and predictive 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 
• Define logging needs in partnership with Data Engineering
• Design and develop dashboards to enable self-serve data consumption

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, Hadoop, 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

Benefits

• Stock
• $2,000 yearly employee travel coupon
• Competitive salary
• Paid time off
• Medical, dental, & vision insurance
• Life & disability coverage
• 401K
• Flexible Spending Accounts
• Apple equipment