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Senior Data Scientist

Pubblicato il 30-08-2026 - Team.Blue in Firenze

Position Overview
We are looking for an experienced Data Scientist to join our Data & Analytics team. As a Data Scientist you will not only bring technical expertise but also a deep understanding of business operations and strategy. Your work will directly influence decision‑making and help shape the future of our organization through actionable insights drawn from complex datasets. As a Data Scientist, you will collaborate with cross‑functional teams, including business leaders, product managers, and engineers, to design and implement data‑driven solutions that align with the company’s goals. You will be expected to translate complex data into business value, leveraging machine learning, predictive modeling, and statistical analysis.
Key Responsibilities
- Business Insight Development: Understand the key business challenges and opportunities, and use data to develop solutions that align with strategic objectives.
- Data Strategy: Collaborate with leadership to define the data science roadmap and priorities based on business needs and opportunities.




- Predictive Modeling & Machine Learning: Build, deploy, and maintain machine learning models to forecast trends, optimize processes, and drive business outcomes.
- Data Analysis & Visualization: Analyze large, complex datasets to extract actionable insights, and present findings to both technical and non-technical stakeholders.
- Data science pipeline: Advise, build and continuously improve the data science pipeline which best responds to team.blue analytics needs.
- Cross‑functional Collaboration: Work closely with business leaders, product teams, and engineers to ensure that data solutions meet business requirements.
- Continuous Improvement: Stay up to date with the latest trends in data science, AI, and machine learning to continuously improve the team’s capabilities.

Requirements
- Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 5+ years of experience in data science, with

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