About the role
Applied Data Scientist at team.blue, working across the European hosting and SaaS group to turn messy multi-brand problems into production ML. The role sits at the intersection of classical data science, product thinking, and GenAI: pick the method from first principles, take it from POC to a containerised service, and show the impact in business metrics.
You own feature generation, modeling, evaluation, retraining, and deployment, then translate the outcome for stakeholders who do not live in notebooks. The bar is 8+ years, expert Python and SQL, scikit-learn through PyTorch and LLMs, and a history of shipping, not just analysing. DataOps, MLOps, and Spark are listed as nice-to-have, not the core hire signal.
Highlights
- Fully remote, Florence listed among EU hubs.
- Python, SQL, scikit-learn, PyTorch, plus GenAI where it actually moves a metric.
- End-to-end ownership including containerisation.
- 8+ years across multiple verticals. Title says Applied, spec says Senior.
This recap is dataskew's editorial summary, not the company's copy.