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Senior applied data scientist

Pubblicato il 10-08-2026 - Team.Blue in Italia

Company Overview team.blue is the market leader in enabling digital success for small and medium‐sized businesses (SMBs) across Europe, serving over 3 million customers in more than 25 languages. Our mission is to simplify online business success by providing the tools and resources needed to excel and stay 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 develop Data Science & ML algorithms to solve complex, real‐world business problems across the team.blue group. This role requires strong analytical skills, programming expertise, problem‐solving ability, data‐wrangling proficiency, excellent communication, and up‐to‐date knowledge of the latest Data Science/ML/AI developments. Responsibilities Break down multi‐domain business problems with a focus on ROI and impact metrics, designing appropriate technical methods from POC to production.



Develop solutions and extract insights from data using classical machine learning methods and generative AI. Own the development, implementation, and automation of 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, 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 of hands‐on industry experience solving data science and machine learning problems across multiple verticals. Expert programming skills in Python and SQL, with proficiency in relevant Data Science & ML fr

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