Senior Data Scientist

team.blue; Firenze; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

team.blue in Florence, Italy is seeking an experienced Data Scientist to join our Data & Analytics team. You will translate complex datasets into actionable business insights, design data-driven solutions, and collaborate with product managers, engineers and leaders to shape strategy.

You will leverage machine learning, predictive modeling and statistical techniques to forecast trends, optimize processes and support decision making across the organization. 5+ years experience required.

Competenze

• Degree in data science, statistics, mathematics, computer science, or related field.
• 5+ years of data science experience solving complex business problems.
• Ability to translate insights into business recommendations and communicate with stakeholders.
• Strong analytical thinking and problem-solving in unstructured data contexts.

Mansioni

• Understand the key business challenges and develop data-driven solutions aligned with strategic objectives.
• Collaborate with leadership to define data science roadmap and priorities.
• Build, deploy, and maintain machine learning models to forecast trends and optimize processes.
• Analyze large datasets to extract actionable insights and present findings to diverse stakeholders.
• Advise and improve the data science pipeline to meet analytics needs.
• Work with business leaders, product teams, and engineers to ensure data solutions meet requirements.
• Stay updated on trends in data science, AI, and machine learning to enhance capabilities.

Conoscenze

Business analytics

Communication

Problem solving

Cross-functional collaboration

Formazione

Degree in Data Science, Statistics, Mathematics, CS

Strumenti

Python

R

Scala

SQL

TensorFlow/Scikit-learn

AWS/Azure

Hadoop

Spark

Descrizione del lavoro

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 a proven track record of solving complex business problems using data.
• Strong understanding of business operations and the ability to align data science projects with business objectives.
• Communication Skills: Ability to translate technical insights into business recommendations and communicate with stakeholders at all levels.
• Problem‑solving: Strong analytical thinking with the ability to handle complex and unstructured data.
• Technical Skills:
• Proficiency in programming languages such as Python, R, or Scala.
• Experience with machine learning frameworks (e.g., TensorFlow, Scikit‑learn).
• Experience with SQL and working with large data sets.
• Familiarity with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Hadoop, Spark).

Come as you are

Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

ESG

At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.

The most trusted digital enabler

team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services.