Data Scientist, Growth

Notion • San Francisco, CA

5d • $200,000 - $300,000 • Onsite

About The Position

Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. About The Role: Notion's mission is to help people build beautiful tools for their life's work. The Growth org aims to accelerate Notion's reach and impact by making the product more valuable to our users and in doing so grow our business. As a growth data scientist, you'll drive improvements to the user experience and our self-serve revenue engine through quantitative analysis and experimentation, in close partnership with the product team. You will be instrumental in defining the team's roadmap by identifying new opportunities, seeing through their execution, and rigorously evaluating their impact.

Requirements

• You have spent meaningful time as a data scientist partnering with product, engineering and growth teams. You can draw on that experience to identify where data can have the most impact and clearly communicate to your partner teams what that impact is.
• You are comfortable with ambiguity and motivated by business results.
• You have expertise in SQL and at least one scripting language (ideally Python or R).
• You know how to use statistical inference and experimentation to drive actionable recommendations.
• You have experience building predictive models, and you know how to evaluate their effectiveness.
• You are comfortable transforming raw data to build your own data sets if the measure you need doesn't exist yet.
• You have a bias for using the right tools to get a job done with maximum efficiency.
• You have experience making tradeoffs between speed and accuracy.

Nice To Haves

• You have worked at a fast-growing start-up.
• You have experience at a B2B SaaS company.
• You have been a Technical Lead or Manager within Data Science teams previously.
• You have helped design processes that data science teams use to collaborate with their product, engineering, and marketing peers.
• You have a track record of acting as a thought partner to product, engineering, and marketing leaders, driving strategic decisions on these teams using data.

Responsibilities

• You will apply your expertise in statistical inference and experimentation to understand the impact of product changes and drive decision-making.
• You will explore ambiguous areas and conduct analysis to identify opportunities for the Growth org, helping shape the strategy and roadmap.
• You'll partner closely with product, engineering, and marketing leaders at every step of the development process, driving forward data science and analytics work on different pillars across Growth.
• You'll work with your teams to determine north star and operational metrics, and build the foundational datasets and dashboards to monitor progress and make key decisions.
• You'll influence the broader company by communicating your findings and driving change in our product and business. (Insights are useful. Impact is even better!)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees