Senior Data Scientist - Content Growth
Confirmed live in the last 24 hours
Nextdoor
Compensation
$175,000 - $234,000/year
Job Description
#TeamNextdoor
Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.
Meet Your Future Neighbors
As a Data Scientist at Nextdoor, you will help design and oversee product experiments and own complex analyses 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 consists of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as economics, physics, statistics, and operations research. We are an integral part of 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.
The Impact You'll Make
The Content Growth team is currently focused on scaling high-quality third-party content, with a strong emphasis on video, local creators, and events, to drive engagement and fill content gaps in low-activity neighborhoods. As a Data Scientist on the Content Growth team, you will partner with Analytics Engineers to advance our data foundation, collaborate with our cross-functional teams to develop and execute product roadmaps, and define/own the ways we measure success and elevate experimentation capabilities of the team.
We are seeking an entrepreneurial and driven data scientist to accelerate our efforts and play a significant role in our data-centric culture. This person will work closely with various cross-functional teams, such as product, engineering, and design, to develop and deliver metrics, analyses, solutions, and insights.
Successful candidates will demonstrate technical acumen, product expertise, and business acumen, and be enthusiastic about making a positive impact through timely execution. You are passionate about leveraging the power of data to drive product changes with quality and agility.
Your responsibilities will include:
- Partner with cross-functional teams - including product management, design, engineering, research - to support product development efforts
- Experiments: design and measure experiments to inform feature decisions
- Develop key strategic insights through exploratory data analysis, to inform future investments or pivot in strategy
- Build scalable metrics and dashboards to empower efficient decision-making at Nextdoor
- Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises
- Build in-person relationships with team members and contribute to Nextdoor's company culture
What You'll Bring To The Team
- 5-7 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 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
- 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
- Innate curiosity around finding meaningful insights that inform the way we think about and develop bot