Remote Senior Data Scientist

Summary

Join a distributed team across Europe and Asia as an experienced data scientist to deliver insights and analytics to uncover new strategic opportunities, drive faster user-centric decisions, and make Goodnotes's products smarter.

Requirements

• 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
• 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 care 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

Responsibilities

• 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
• Improve our experimentation practices by leading change on tooling, infrastructure and design; expanding its use cases, owning documentation and advocating usage among technical and non technical stakeholders
• Perform basic ETL tasks to model new dimensions and facts in our data lakehouse

Benefits

• 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