Senior Data Scientist - B2B

At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed. By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI. Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning. Join us on this journey as we transform digital note-taking into an inspiring and innovative experience.

Our Values:

Dream big
- Be visionary, strategic, and open to innovation
Build great things
- Work in service of our users, always improving and pushing higher
Operate like an owner
- Take responsibility with bold decision-making and bias for action
Win like a sports team
- Be trusting and collaborative while empowering others
Learn and grow fast
- Never stop learning and iterate fast
Share our passion
- Share ideas and practice enthusiasm and joy
Be user obsessed
- Empathetic, inquisitive, practical

About the team:

You will join a distributed team across Europe and Asia focusing specifically on delivering insights and analytics to uncover new strategic opportunities, drive faster user-centric decisions, and make Goodnotes's products smarter.

About the team:

Our B2B team is building the foundation for how organizations use Goodnotes at scale. Goodnotes is no longer just for students. We're seizing a massive market opportunity: the B2B sector. Think knowledge workers – that's a market 10-20 times larger than the student market, with bigger budgets and even bigger potential. We're talking about changing how professionals work, collaborate, and create.

The team is distributed across Europe and Asia and works with an asynchronous-first culture grounded in documentation and shared ownership. You are welcome to work remotely from anywhere, with at least four hours of overlap with your closest collaborators, or you can join us in our Hong Kong or London office. Time zone differences will not affect your work-life balance thanks to the async nature of our ways of working.

About the role:

We are seeking an experienced and passionate data scientist to work in the Insights team. You will be working alongside Data Scientist and Data Engineers. You will lead analytics and insights of Goodnotes professional users: experimentation efforts as well as deep dives, user’s behavior modeling and use case clustering, KPIs forecasting impact attribution and customer acquisition optimization.

This is the role for you, if you’re excited to work on the things listed below:

• Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn.
• Drive proactive analysis/research into high-potential green fields.
• Ensure all teams have insight to data and can answer their own first-order questions.
• Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
• Attribute impact to product features and marketing campaigns.
• Perform basic ETL tasks to model new dimensions and facts in our data lakehouse.

The skills you will need to be successful in the above:

• 6+ years of experience in data science and analytics space
• Hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems.
• Proven stakeholder management expertise. Gifted at explaining your findings clearly to a non-technical audience and excited by helping your team and stakeholders develop KPIs and self-serve dashboards.
• Technically proficient with relevant analytics tools (dbt, modern BI tools) and languages (SQL, Python or R)
• Deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of A/B test design, as well as understanding of peeking techniques and multi-armed bandit.
• Ability to combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing), including demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).
• Deep concern about the details and high-quality instrumentation that lead to high-quality, impactful insights.
• Excellent problem-solving skills and ability to think critically.
• Desire to work in a fast-paced, collaborative environment.
• Excellent communication skills, both verbal and written.

Even if you don’t meet all the criteria listed above, we would still love to hear from you! Goodnotes places a lot of value on learning and development and will support your growth if needed.

The interview process:

• An introductory call with someone from our talent acquisition team. They want to hear more about your background, what you are looking for, and why you’d like to join Goodnotes
• Take-home Assignment.
• Technical interview: A technical call with 2-3 analysts. We will go through your take-home submission and a few other questions You will have the chance to ask any questions you may have.
• Hiring Manager interview: A call with your hiring manager. This is the person who will be managing you day to day, working on your growth and development with you as well as support you throughout your career at Goodnotes.
• Panel interview – A meet the team call with 2 or 3 GoodPeople you’d be working closely with at Goodnotes

What’s in it for you:

• Meaningful equity in a profitable tech startup
• Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness
• Sponsored visits to our Hong Kong or London office every 2 years
• Company-wide annual offsite (we met in Portugal in 2023 and Bali in 2024)
• Flexible working hours and location
• Medical insurance for you and your dependents

Note: Employment is contingent upon successful completion of background checks, including verification of employment, education, and criminal records.