AI - Data Scientist

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 Data Scientist who thrives at the intersection of analytics, 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 programming and data wrangling skills, good comunication abilities and up-to-date knowledge of the latest Data Science/ML/AI developments.

Responsibilities:

• Extract insights 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

• 5+ years hands-on industry experience solving data science and machine learning problems to address real-world business problems
• Expert programming skills in Python and SQL and with relevant Data Science & ML frameworks (Scikit-learn, Pandas, PyTorch, etc)
• Deep understanding of statistical and ML algorithms, methodologies and approaches, amd wth deep learning & LLMs
• Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
• Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Streamlit, Looker, etc.)
• Strong problem-solving skills with excellent communication and documentation skills with 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, Machine Learning, or a related field.
• Software engineering background, ideally in backend or system integration
• 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 with distributed data tools (eg. Spark, Dask, Apache Arrow)

“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.”