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Senior Data Scientist – Core Product & Engagement
| Company | Nextdoor |
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| Location | San Francisco, CA, USA |
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| Salary | $160000 – $215000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior, Expert or higher |
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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.
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.
Preferred Qualifications
No preferred qualifications provided.
