Data Scientist

Kaizo

Kaizo is an innovative SaaS organization dedicated to crafting an efficient ecosystem that inspires employees to excel and leave a meaningful impact. Their mission is to revolutionize the daily experiences of customer support teams with a performance development platform infused with AI and gamification. Working at Kaizo involves transforming ambitious initiatives into reality within a diverse team environment.

In this role you can expect to have the responsibilities:

• Build production-grade predictive models using the latest technologies
• Implement and optimize NLP and NLG methods
• Enhance existing system features and process data for analysis
• Perform data analysis and clearly present findings
• Develop and maintain automated systems and monitor their performance
• Optimize prediction systems using both open-source and proprietary LLMs
• Collaborate with team members to support product development
• Communicate results and ideas to key decision makers
• Experiment with new tools and approaches in data science

This role comes with the following benefits:

• Office in central Amsterdam with hybrid working options
• Visa sponsorship available
• Well-equipped office environment
• Flexible working hours
• Workations and open holiday policy

This role requires you to have:

• 3+ years industry experience
• Prototyping and deploying data science projects
• Mastery of data science toolkits (Pandas, Numpy, etc.)
• Experience with deep learning frameworks (Tensorflow, PyTorch, etc.)
• Proficient in data visualization tools
• Applied statistics proficiency
• Strong Python programming skills

You would benefit from having:

• Familiarity with MLOps
• Experience with Google Cloud Platform, Github, Docker, Kubernetes
• Versatility and a team player mindset
• Strong communication abilities
• Interest in learning new technologies

Kaizo promotes an inclusive and empowering culture with a team spanning 15 people from 10 different nationalities. They value adaptability and encourage candidates who embrace learning and growth.