Data Scientist

Requirements

1. Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 3+ years of relevant professional experience.

2. Core Data Science & 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.

3. Applied Research & Experimentation

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

4. Software Engineering

• Working knowledge of backend development (REST APIs, FastAPI, Flask, or similar).
• Comfortable working with cloud environments (AWS preferred).
• Ability to debug and fix software-level issues when they affect ML workflows.
• Familiarity with Git, CI/CD, and collaborative coding best practices.

5. Nice-to-Haves

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

6. Mindset & Collaboration

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