Data Scientist Research
Pubblicato il 15-08-2026 - Team.Blue in Pian di San Bartolo-trespiano
Company Overviewteam.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 OverviewWe 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.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 productionDevelop 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 deploymentTranslate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metricsCollaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutionsConduct research on the latest Data Science/ML/AI developments and apply them to improve our systemsDocument processes, code, and findings for future reference and knowledge sharingRequired Skills:8+ years hands-on industry experience solving data science and machine learning problems to address real-world business probl