Senior Data Scientist

team.blue; Oost-Vlaanderen; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

team.blue is seeking an experienced Data Scientist to join the Data & Analytics team. You will apply machine learning, predictive modeling and statistical analysis to drive business value and strategic decisions.

You will translate complex data into actionable insights for business leaders, product managers, and engineers while shaping our data-driven roadmap. You will collaborate with cross-functional teams to design data-powered solutions, continuously improve the analytics pipeline and stay

Qualifications

• Minimum 5+ years of data science experience with business impact.
• Ability to translate insights to stakeholders.
• Strong communication and problem-solving skills.
• Proficiency in Python, R or Scala.
• Experience with ML frameworks and big data tools.

Responsabilités

• Develop data-driven solutions that align with business goals.
• Collaborate with cross-functional teams including product, engineers and leaders.
• Build, deploy and monitor predictive models to forecast trends.
• Analyze large datasets and present insights to both technical and non-technical stakeholders.

Connaissances

Python

R

Scala

ML frameworks

SQL

Cloud platforms

Big data

Data visualization

Communication

Problem solving

Formation

Degree in Data Science, Statistics, Math, CS

Outils

TensorFlow

Scikit-learn

Hadoop

Spark

AWS

Azure

Description du poste

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.”

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