Data Science Intern - Summer 2023
San Francisco, CA
#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 300,000 neighborhoods across 11 countries.
Meet Your Future Neighbors
The Data Science team at Nextdoor is responsible for design and oversight of product experiments, owns complex analysis to drive company and product strategy, and deploys online and offline models to a production environment. We use an 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
As a data science intern at Nextdoor, you’ll own the research, analysis, presentation, and productionization of a stand-alone project or model that directly impacts our product strategy. You’ll work closely with engineers, product managers, and other data scientists to deliver a meaningful project in an area like content moderation, ads allocations, or growth & notifications. You’ll be partnered with one of Nextdoor’s data scientists for the summer - we’re so excited to have you!
What You’ll Bring To The Team
- Currently pursuing a quantitative degree
- Comfort working in Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
- Comfort with methods, tools, and packages for statistical modeling and machine learning
- Experience formulating, running, and sharing complex analyses
- Experience architecting, debugging, and executing SQL queries
- 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 or academic experience related to social or community-based products
- Work or academic experience related to small businesses and marketplaces
- Work or academic experience related to advertising and auction system
- Experience 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.
Tags: Architecture Engineering Machine Learning NumPy Pandas Physics Python R Research Scikit-learn SQL Statistical modeling Statistics Testing
Perks/benefits: Career development
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