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Data Scientist, Product Innovation Leader
1 week ago
We're on a mission to empower every person, team, and company to create tailored software solutions. Our goal is to make it possible for users to modify the software they use daily.
We've been working towards this vision since 2016, partnering with customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more. Today, we're growing rapidly and seeking talented professionals to join our team.
Notion is an in-person company, requiring employees to spend most of their week in the office. We believe that face-to-face collaboration is essential for innovation and growth.
About The Role:The product data science team at Notion focuses on transforming data into actionable insights. As a data scientist, you'll work closely with engineering teams to drive product decisions using evidence-based analysis.
You'll play a key role in setting the roadmap for product, engineering, and data science collaboration. This involves hands-on work, including exploring user behavior, building datasets, and running experiments to evaluate feature success.
As a member of our team, you'll apply your expertise in statistical inference, data mining, and data presentation to drive business impact. You'll dive into ambiguous areas, define problems, and identify opportunities for the team to tackle influential projects.
What You'll Achieve:- You will apply your analytical skills to understand how users interact with Notion, leveraging statistical inference and data mining techniques.
- You will partner closely with product, engineering, and marketing teams to drive forward data science and analytics work.
- You'll design experiments and analyses to evaluate new feature success and provide actionable recommendations.
- You'll work with teams to determine north star and operational metrics, building dashboards for monitoring progress and making informed decisions.
- You'll influence the product roadmap by communicating findings to the broader company and driving change in our product and business.
- You have experience as a data scientist partnering with product and engineering teams, identifying impactful areas and clearly communicating results.
- You possess expertise in SQL and at least one scripting language (ideally Python or R).
- You know how to use experimentation and statistical inference to drive actionable recommendations.
- You have experience building predictive models and evaluating their effectiveness.
- You are comfortable transforming raw data into custom datasets when needed measures don't exist yet.
- You prioritize efficiency and accuracy, selecting the right tools for each task and making tradeoffs between speed and precision.
We hire talented individuals from various backgrounds to represent our global customer base. If your past experience doesn't align perfectly with the job description, we encourage you to apply if you share our company values and passion for making software toolmaking ubiquitous.
We're committed to providing a competitive compensation package, equity, and benefits. Compensation will be based on factors like location, role scope, and candidate experience, varying from the provided range.