Data Scientist - Foundation Platform

Airbnb has become a global platform that connects travelers and hosts from over 81,000 cities. Our Data Science team draws insights from our rich two sided marketplace data to propel our community and product forward. Together we can create a place where we can belong anywhere.

 

About the position:

We are looking for data scientists with particular strength in engineering skills to provide a strong data foundation to build upon for reporting, analysis, and modeling. We are looking for people with expertise in SQL/Python and large scale distributed databases like Hive/Presto/Spark. Then we are looking for someone who can translate those data into metrics, dashboards, and analysis.  You will sit at the intersection of data science and engineering, and work collaboratively to achieve highly impactful outcomes.

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

 

Your Activities:

  • Interface with fellow data scientists, engineers, and product managers to understand data needs
  • Architect, build, and launch efficient & reliable new data models, schemas and pipelines to enable analysis and modeling
  • Become a data expert in your domain and own data quality for the pipelines you build
  • Build tools for auditing, error logging & validating data tables
  • Build tools to automate data science work (e.g. modify a function in Python or R)
  • Define logging needs in partnership with engineering
  • Analyze data to define business metrics
  • Design and develop dashboards to enable faster data consumption
  • Perform data analysis to understand the opportunity for new business and product initiatives

 

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. Hadoop, Hive, Spark, Presto)
  • Expert in at least one programming language for data analysis (Python or R)
  • Experience in schema design and dimensional data modeling
  • Ability to perform statistical analysis to inform business decisions
  • Proven ability to succeed in both collaborative and independent work environments
  • Detail oriented

 

Preferred qualifications:

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

 

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
  • Daily breakfast, lunch, and dinner

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status


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