Data Scientist (Data Practice)

Job Description

Data Scientist - Data Practice

Job Description

1. Bachelor's degree or higher in ComputerScience,DataScience, Business Analytics or a related field, with at least 2-3 years of relevant professional experience.
2. CoreDataScience& ML skillset

• Strong foundation in machine learning, with hands-on experience in model development and experimentation.
• Strong programming proficiency in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Ability to analyze model behavior, diagnose training issues, and design experiments to improve performance.

1. Applied Research & Experimentation

• Familiarity with reading, synthesizing, and ability to translate emerging research into practical prototypes.

1. Nice-to-Haves

• Experience with privacy-enhancing technologies, anonymisation, syntheticdatageneration or differential privacy.
• Familiarity with frontend integration workflows (Next.js/React).
• Prior experience working in multi-disciplinary product teams.

1. Mindset & Collaboration

• Curiosity and willingness to learn new domains (esp.dataprivacy).
• Strong communication skills to explain technical concepts to both engineers and non-technical stakeholders.
• Inclination to work in a collaborative, fast-moving Agile environment