• Successful candidates will exhibit technical acumen, product sense and business savvy
• You are passionate about leveraging the power of data to drive product changes with quality and agility
• You are a team player
• 6 - 8+ years working in data science, product analytics, or business intelligence, or equivalent (starting level is flexible)
• Strategic-minded, impact-driven, and capable of incorporating larger business context into data questions and product development
• Experience architecting, debugging, and executing SQL queries
• Excellent knowledge of Looker (preferred) or another BI/visualization tool
• Comfortable knowledge of Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
• Comfort with methods, tools, and packages for statistical modeling and machine learning
• Experience formulating, running, and sharing complex analyses, including different types of experiments, cohort retention studies, and other exploratory analysis work
• Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark
• Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders
• Curiosity about how things work, from both a business and technical perspective
• A self-starter who thrives under a high level of ambiguity and autonomy

Desirable

• We are looking for an entrepreneurial and driven Senior Data Scientist to build these Business Intelligence capabilities and establish the foundation of our data and analytics work
• You will work closely with various cross-functional teams such as product, engineering, etc. to develop a BI layer and assist us in better understanding key metrics through causal analyses, data tooling, and dashboarding
• The work of Product FSO is essential to the growth and success of the company and involves frequent opportunities to showcase key metrics and findings to senior leadership
• Partner closely with Finance and ProdDev leads to identifying strategic, high-impact analytical problems and innovative ways to solve them with data
• Insight discovery: Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations. Additionally, analyze data to identify trends, discrepancies, and opportunities for improvement. Provide actionable recommendations and insights to senior management to facilitate informed decision-making
• Analytics and Forecasting: Conduct statistical analyses and modeling, exploratory/causal analysis, and metric development to uncover data insights that in turn better inform key decisions and enable driver-based forecasting of user activity
• Performance management support: Assist in our weekly performance tracking and management of business operations. Ensure accuracy and timeliness in performance reporting, helping the team meet its short and long-term objectives
• Analytics foundation: Partner with our Analytics Engineering team to create and maintain a solid data foundation using advanced data analysis tools and techniques. Extract and manipulate large datasets to create meaningful metrics and insights that inform strategic decisions
• Collaboration: Facilitate data ownership and accountability by closely partnering with data science, product, and engineering partners to improve data robustness
• 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