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 315,000 neighborhoods across 11 countries.
As Nextdoor’s Core Product Data Science Lead, you’ll be responsible for owning data strategy and execution across all of Nextdoor’s core product areas. As a key member of the senior leadership team, you will drive the overall company strategy. Your focus will be on enhancing product-led user engagement through strategic use of data insights and close collaboration with cross-functional teams. You will oversee initiatives to develop advanced models that analyze user engagement, decipher causal relationships, improve feed relevancy, and explore new user ecosystems. Your team’s work is mission critical to driving the company’s overall growth and success.
As Data Scientists at Nextdoor, we design and oversee product experiments, own complex analyses 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 comprises people from diverse backgrounds and perspectives, trained in fields as wide-ranging as psychology, geology, physics, computer science, 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.
In this role, you’ll be responsible for developing, communicating, and leading execution of our data strategy for all of Nextdoor’s core product areas. This is a highly specialized role; experience in engagement data is a must, as are top-tier people management and communication skills. The person who fills this role has the potential to fundamentally change the trajectory of Nextdoor’s business.
This role is also responsible for helping to grow, mentor, and develop our data science team. You’ll help to enrich a supportive culture of learning, where no question is too small or too big to ask, and diverse voices can be heard. You’ll work with other data science leaders to help set up the entire discipline for success in the years to come.
Bonus Points
Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.
The starting salary for this role is expected to range from $200,000 - $260,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. Compensation may also vary by geography.
We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date.
Overall, total compensation will vary depending on your relevant skills, experience, and qualifications.
We have you covered! Nextdoor employees can choose between a variety of great health plans. We cover 100% of your personal monthly premium for health, dental, and vision – and provide a OneMedical membership for concierge care.
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.
Yearly based
San Francisco, CA