Senior/Staff Data Scientist - San Francisco, CA, United States - Nextdoor

Description

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.

Meet Your Future Neighbors As a Data Scientist at Nextdoor, you will be responsible for design and oversight of product experiments, own complex analysis 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 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.

The Impact You'll Make As a Data Scientist on the Core Product team, you will focus on product-driven user acquisition by using data insights in close collaboration with our cross-functional teams, developing models to understand user engagement, causal effects, and new user ecosystems.

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, design to develop and deliver metrics, analyses, solutions, and insights.

You are passionate about leveraging the power of data to drive product changes with quality and agility.
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
Conduct causal inference studies to deeply understand Nextdoor's user behavior and acquisition pattern
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
4+ years of relevant work experience.

MS or PhD in a quantitative discipline:
statistics, operations research, computer science, informatics, engineering, applied mathematics, 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
~ 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 audience, including executives and compile compelling narratives
~ Ability to solve ambiguous business problems with structured analytics framework
~ Compensation may also vary by geography.
We also expect to award a meaningful equity grant for this role.

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.

For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.
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