About the position
As a Data Scientist at Nextdoor, you will help design and oversee product experiments, and own complex analysis to drive company and product strategy. 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 economics, psychology, geology, physics, statistics, and operations research. We are the mathematical decision scientists for the product development organization and play an active and collaborative role in building and improving the product. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.
Responsibilities
- Experiment design: Make sure we run experiments efficiently and accurately, including monitoring early feature development through tracking post-release follow-ups
- Develop and share key strategic insights through data analysis, evaluating the performance and impact of the product team
- Build scalable metrics and dashboards to inform product strategy
- Partner with cross-functional teams to support product development efforts (including product, design, engineering, marketing, and operations)
- Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers and help Nextdoor grow
- Participate in in-person Nextdoor events, trainings, off-sites, volunteer days, and other team building exercises
- Build in-person relationships with team members and contribute to the KIND culture that Nextdoor values
Requirements
- 7+ years of data science and product analytics experience.
- BS and/or MS in a quantitative discipline: statistics, operations research, computer science, engineering, applied mathematics, physics, economics, etc.
- Experience in applied statistics and statistical modeling in at least one statistical software package, preferably Python
- Experience in designing trustworthy experimentation and analyzing complex product a/b testing results
- Experience identifying, designing, and delivering ergonomic tables to amplify speed + accuracy of key analysis and self-serve reports.
- Experience developing and executing on key ecosystems, understanding roadmaps, and building new capabilities (e.g., customer segment framework)
- Expert knowledge of SQL, Python programming, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
- Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audiences, including executives and compile compelling narratives
- Ability to solve ambiguous business problems with structured analytics framework
- Innate curiosity around finding meaningful insights that inform the way we think about and develop both our product and our business strategies
Benefits
- The starting base salary for this role is expected to range from $160,000 to $205,000 on an annualized basis.
- Compensation may also vary by geography.
- We also expect to award a meaningful equity grant for this role.
- Nextdoor employees can choose between a variety of great health plans.
