Senior Data Scientist - Feed

#TeamNextdoor

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 275,000 neighborhoods across 11 countries.

Meet your Future Neighbors

The Data Science team at Nextdoor is part of the Data org, which also includes Business Intelligence and Data Engineering, and Machine Learning. 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

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 product experiments, the development and deployment of action-rate models and methods for content and ad ranking, the creation of matching and recommender systems for Nextdoor’s marketplaces, and the study and modeling of the customer and member lifecycles. 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 6+ 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
• Expert with methods, tools, and packages for statistical modeling and hypothesis testing
• Advanced knowledge of SQL 
• Intermediate knowledge of at least one big data technology such as Presto, Spark, or Hive
• 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 Feed 
• Work related to social media products and networks

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the customers we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.