Data Scientist

📋 Description

• Translate product and business challenges into well-defined modeling problems, hypotheses, and
• Ship production-ready, scalable Machine Learning solutions with real-world impact on user
• Design and evaluate experiments, building rapid prototypes, assessing results rigorously, and
• Collaborate across Data Science, Product, and Engineering, communicating findings, recommendations

🎯 Requirements

• Strong technical foundations in statistics, machine learning, and programming, backed by a track
• Hands-on experience developing ML models in business or production environments, with the ability
• Ownership, sound judgment, and analytical thinking, with the ability to navigate technical
• Fluency with AI-assisted workflows, leveraging modern tools to improve productivity and quality
• Curiosity, humility, and a collaborative mindset, with a commitment to continuous learning, sharing

🎁 Benefits

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being
• Company-paid therapy sessions through SpringHealth
• Company-paid subscription to HeadSpace
• Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of
• No meeting Fridays