Data Scientist Revenue Senior Staff at Nextdoor

#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 295,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, own complex analysis to drive company and product strategy, and deploy 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. We are the mathematical decision scientists for their product development organization and play an active and collaborative role in building and improving the product.
The Impact You’ll Make
At Nextdoor, Data Scientists have the opportunity to work across a wide range of problem areas, including member and small business onboarding, growth, feed ranking, community vitality, monetization, and experimentation. As a Data Scientist on our Revenue team, you’ll focus on driving value for businesses of all sizes - from multinational brands to your local coffee shop. 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. 
What You’ll Bring To The Team

Advanced degree in a quantitative field and 4+ years working in data science, product analytics, or machine learning, or equivalent
Excellent knowledge of Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
Expertise with methods, tools, and packages for statistical modeling and machine learning
Experience formulating, running, and sharing complex analyses, including different types of experiments, causal inference studies, and other exploratory analysis work
Experience architecting, debugging, and executing complex SQL queries
Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark
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 and a commitment to community
It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us!

Bonus Points

Work experience related to social or community-based products
Work experience related to small businesses and marketplaces
Work experience related to advertising and auction systems
Expertise deploying models to production
Expertise in testing and evaluating the impact of network effects
Knowledge of web applications and service-oriented architecture

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 neighbors 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.
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