Python Developer / Data Scientist

Python Developer / Data Scientist

Overview A Python developer with a data science background to become the long-term owner of the NDT project. The developer will co-build across the entire codebase with the current team to understand it and then take over ownership once the current team leaves. From that point, the developer will keep the project running and continuously adapt it to changing business requirements.

Expected Tools & Knowledge

Must have

Python: solid and production-minded

Data science

Experiment tracking with MLflow

Collaborative programming and Git

Self-reliance, with the ability to unblock minor technical issues independently

Nice to have

Classical machine learning

Computer vision

Kubernetes

REST / FastAPI

Responsibilities

Co-build across the entire codebase with the current team and prepare to take full ownership once they leave.

Own the project long term, maintain it, and continuously adapt it to changing business requirements.

Continuously evaluate model performance.

Collect new data and re-trigger model training when needed.

Critically challenge the training data and determine whether a model is good enough to deploy.

Competencies

Python & Software Engineering

Solid, production-minded Python.

Comfortable taking over and maintaining an existing codebase.

Uses Git and works effectively in a collaborative development setup.

Data Science & Model Judgment

Strong grounding in data science.

Questions whether the training data is sound and whether a model is genuinely ready to deploy, rather than trusting metrics at face value.

Evaluates model performance and knows when to collect data and retrain.

Business Stakeholder Interaction

Works directly with business stakeholders to understand and clarify changing requirements.

Translates business requests into concrete changes to the project.

Communicates results and model limitations clearly to non-technical audiences.