Senior Data Scientist - Business Solutions at Nextdoor
San Francisco, CA, US

Nextdoor is the neighborhood hub for you, your neighbors, and the broader local community. Nextdoor’s purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. 

Real-world connections are a universal human need and neighborhoods are one of the most important contexts in which we form them. This is a guiding principle for Nextdoor. Today, neighbors rely on Nextdoor in neighborhoods around the world in the United States, the United Kingdom, Germany, France, the Netherlands, Italy, Spain, Sweden, Denmark, Australia and Canada, with many more to come.

Meet your Future Neighbors

The Data Science team at Nextdoor is part of the Data org, which also includes Business Intelligence and Data Engineering. At a high level, the Data org is responsible for the building and maintenance of data infrastructure as well as the use of that infrastructure for internal reporting, analysis, and modeling. Data Science at Nextdoor is responsible for design and oversight of product experiments, analysis and modeling to drive company and product strategy, and, where applicable, the deployment of online and offline models to a production environment. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as psychology, geology, physics, and statistics. Data Scientists at Nextdoor serve as the mathematical decision scientists for their product group and play an active and collaborative role in improving the product.  

The Impact You’ll Make

On the Business Solutions pillar, Data Scientists have the opportunity to work across a wide range of problem areas, including analysis of real-time auction dynamics, design and oversight of experiments covering the ad system and ad display products, the development and deployment of action-rate models and methods for audience targeting, and the study and modeling of the customer lifecycle. The work is essential to the growth and success of the company and involves frequent opportunities to deploy code as well as showcase progress to teammates, stakeholders, and company leadership. 

Requirements

  • Advanced degree in a quantitative field and 2+ years work experience in data science or machine learning, or equivalent
  • Excellent knowledge of Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
  • Deep expertise with methods, tools, and packages for statistical modeling and machine learning
  • Advanced knowledge of SQL 
  • Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark
  • Basic knowledge of web applications and service-oriented architecture
  • Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders
  • Curiosity about how things work, from both a business and technical perspective
  • A collaborative spirit, a love for the work, and a commitment to community

Bonus Points

  • Work experience related to auctions or real-time markets
  • Expertise deploying models to production
  • Knowledge of action-rate models