Data Scientist

📋 Description

• Design, build, and maintain end-to-end ML pipelines for doc extraction in production.
• Build prompt evaluation frameworks to improve extraction accuracy.
• Train in-house models with HITL data to automate extraction.
• Build semantic similarity models for free-text to standardized vocab across ports.
• Improve pipeline reliability with testing, monitoring, and alerting for non-deterministic ML systems.
• Evaluate disruptive models and new approaches to achieve step-change accuracy.

🎯 Requirements

• 2+ years of professional experience in data science or ML engineering
• Design, deploy, and maintain ML systems in production, incl. pipelines, monitoring.
• Ability to quickly onboard with new tools, technologies, and problems.
• Strong use of agentic tools for coding
• Strong proficiency in Python
• Hands-on experience with LLMs (prompting, fine-tuning, evaluation)
• Strong foundation in classical data science and statistics
• Strong analytical and problem-solving skills
• Ability to evaluate when existing approaches fail and propose disruptive alternatives
• Strong stakeholder management skills
• Ability to commit fully to a direction after healthy debates

🎁 Benefits

• People-first culture with care
• Efficient systems and direct communication
• Diverse perspectives and inclusive environment