Senior Data Scientist
Pubblicato il 20-08-2026 - team.blue Global 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, wit