Clinical assay principal scientist Vacatures in Ghent

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.

Click here to read more about team.blue

Company Overview

team.blue is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.3 million SMB customers with everything they need to succeed online by offering best-in-class expertise and services.

team.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions and, as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.

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 :

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.

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 ”