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.
As Data Scientists at Nextdoor, we design and oversight of 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, 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.
As a Data Scientist on the Feed team, you will focus on the way our content is delivered to neighbors by using data-driven insights in close collaboration with our ML engineering team and Infrastructure teams. Developing models to understand user engagement, causal effects, and content ecosystem. You will define and own the ways we measure success for the team.
Feed is the centerpiece of Nextdoor’s content consumption model. It overlaps with almost every other team including Ads, Notifications and Growth (user acquisition). We are looking for an entrepreneurial and driven data scientist to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with various cross-functional teams such as product, engineering, sales & finance to develop and deliver metrics, analyses, solutions, and insights.
Successful candidates will exhibit technical acumen, product sense and business savvy, with a passion for making an impact through timely execution. You are keen on building a deeper understanding into ML algorithms and ranking/recommendation systems.
Your responsibilities will include:
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 $122,000 - $201,000 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.