Applied Data Scientist

team.blue; Oost-Vlaanderen; Sur place; EUR 90 000 - 150 000; Plein temps

Résumé du poste

team.blue is seeking a Senior Applied Data Scientist to drive data science and ML initiatives across the business. You will own end-to-end models and pipelines, from problem framing to deployment, including Generative AI approaches that unlock measurable ROI for multiple verticals.

You will work closely with product and engineering teams, applying state-of-the-art DS/ML/AI methods while staying current with industry developments and ensuring scalable, production-ready solutions across Europe.

Qualifications

• 8+ years of hands-on data science and ML experience across multiple domains.
• Strong programming skills in Python and SQL; proficient with ML frameworks.
• Ability to translate complex problems into robust data solutions.
• Experience deploying models from development to production and monitoring.

Responsabilités

• Break down business problems with ROI focus and plan methods from POC to production.
• Develop data science and ML solutions, including GenAI approaches.
• Own end-to-end lifecycle of ML/AI projects, from conception to deployment.
• Translate model results into actionable insights for stakeholders.
• Collaborate with cross-functional teams to define requirements and deliver solutions.
• Research latest DS/ML/AI developments and apply them to systems.
• Document processes and code for knowledge sharing.

Connaissances

8+ years experience

Python & SQL

ML frameworks

Problem solving

Independent working

Communication

Cross-functional teamwork

Formation

Master's/PhD in CS/AI/ML

Outils

Python

SQL

Scikit-learn

Pandas

PyTorch

Description du poste

Company Overview

team.blue is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. Our mission is to make online business success simpler, by providing our customers with all the tools and resources they need to excel online and remain ahead of the curve.

Position Overview

We are looking for a highly skilled Senior Applied Data Scientist who thrives at the intersection of AI, product thinking, and innovation. The ideal candidate will be responsible for developing Data Science & ML algorithms to solve complex, real-world business problems across the team.blue group. This role requires strong analytical skills, programming, problem solving and data wrangling skills, good communication abilities, and up-to-date knowledge of the latest Data Science/ML/AI developments.

Responsibilities

• Break down multi-domain business problems with a strong focus on return on investment and impact metrics, and think through the appropriate technical methods from POC to production
• Develop solutions and extract insight from data using data science and classical machine learning methods and generative AI (GenAI)
• Take ownership of developing, implementing, and automating robust data science and ML models and pipelines, including feature generation, modeling, evaluation, retraining and deployment
• Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics
• Collaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutions
• Conduct research on the latest Data Science/ML/AI developments and apply them to improve our systems
• Document processes, code, and findings for future reference and knowledge sharing

Required Skills

• 8+ years hands-on industry experience solving data science and machine learning problems to address real-world business problems across multiple verticals
• Expert programming skills in Python and SQL and with relevant Data Science & ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
• Ability to think through problems from fundamental principles and operate with a high degree of independence and autonomy while bringing clarity to under-specified problems
• Deep understanding of statistical and ML algorithms, methodologies and approaches ranging from SVMs to deep learning & LLMs
• Ability to own the end to end of the lifecycle of ML/AI projects from conception to containerization
• History of hands-on ownership & implementer of projects that have been put in production and made an impact
• Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
• Strong problem-solving skills with excellent verbal & written communication and the ability to craft analysis into well-written and persuasive content
• Ability to work collaboratively with cross-functional teams

Nice to have skills

• Master's or PhD degree in Computer Science, AI, Physics, Applied Mathematics, Machine Learning, or related fields.
• Deep understanding of current DataOps & MLOps practices, deploying and monitoring models and ETL (extract, transform and load) pipelines
• Experience with AI/ML R&D
• Experience across startups and enterprise firms
• Experience with distributed data tools (e.g. Spark, Dask, Apache Arrow), observability frameworks (OTel)

\"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.