Applied Data Scientist

10 ago - Firenze
Experteer Italy

As a Senior Applied Data Scientist at team.blue, you will develop data science and ML solutions to solve real-world problems across the group. You will own end-to-end ML/AI projects, from concept to deployment, and translate model outcomes into measurable business impact. You’ll work with cross-functional teams to apply GenAI and traditional ML methods to drive ROI and improve key metrics. This role offers the chance to stay at the forefront of Data Science/AI while delivering tangible value at scale.

Ha le carte in regola per avere successo? Le seguenti informazioni devono essere lette attentamente da tutti i candidati.

- Break down multi-domain business problems and select methods to drive ROI and impact metrics
- Develop data science and ML solutions including GenAI to solve business problems
- Own end-to-end ML/AI project lifecycle from conception to deployment
- Translate analytical findings into actionable business insights for stakeholders
- Collaborate with cross-functional teams to deliver innovative DS/ML/AI solutions
- Research and apply latest DS/ML/AI developments to improve systems




- Document processes, code, and findings for knowledge sharing
- 8+ years hands-on industry experience solving DS/ML problems across multiple verticals
- Expert programming in Python and SQL plus DS/ML frameworks (Scikit-learn, Pandas, PyTorch)
- Strong foundation in statistical concepts and ML algorithms from classic to deep learning and LLMs
- Ability to own end-to-end lifecycle of ML/AI projects including deployment and monitoring
- History of delivering xysqume production-ready projects with measurable business impact
- Experience applying statistical concepts to business problems (regressions, A/B tests, clustering)
- Excellent verbal and written communication and ability to craft persuasive analyses
- Ability to work collaboratively with cross-functional teams

As a Senior Applied Data Scientist at team.blue, you will develop data science and ML solutions to solve real-world problems across the grou

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