Product Data Scientist SaaS

📋 Description

• Review and challenge existing A/B testing processes, identify methodological limitations, and
• Develop and implement a robust experimentation framework covering hypothesis formulation, metric
• Design, review, and validate experiment plans with Product and business teams before launch
• Analyze completed experiments, interpret statistical results, communicate limitations and
• Continuously improve experimentation methodologies and analytical tools while keeping processes
• Analyze data throughout the customer journey, including acquisition, conversion, product usage

🎯 Requirements

• Between 3 and 5 years of professional experience in Product Data Science, Growth Data Science, or a
• Previous experience working with high-traffic digital products or large datasets, preferably in
• Hands-on experience designing, implementing, and analyzing experiments, with demonstrated success
• Strong statistical and inferential knowledge, with the ability to select appropriate analytical
• Practical expertise in experimental design and analysis, including hypothesis formulation
• Advanced SQL skills and proficiency in Python for data analysis, statistical modeling, and

🎁 Benefits

• 100% remote working across Europe, with the possibility of working from any European country.
• Flexible working hours, allowing employees to organize their schedules according to their
• Opportunity to work remotely from a different time zone for up to one month.
• Monthly coworking budget of €200 to support employees who prefer working outside their home office.
• Dedicated equipment budget to purchase essential home-office equipment, including laptops, desks
• Flexible vacation policy, allowing employees to take the time off they need to recharge and