Senior Applied Data Scientist

06 ago - Firenze
Team.Blue

ph3Company Overview /h3 pteam.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. /p h3Company Overview /h3 pteam.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. /p h3PositionOverview /h3 pWe 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. /p h3Responsibilities: /h3 ul liBreak 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 /li liDevelop solutions and extract insight from data using data science and classical machine learning methods and generative AI (GenAI) /li liTake ownership of developing, implementing, and automating robust data science and ML models and pipelines, including feature generation, modeling, evaluation,



retraining and deployment /li liTranslate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics /li liCollaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutions /li liConduct research on the latest Data Science/ML/AI developments and apply them to improve our systems /li liDocument processes, code, and findings for future reference and knowledge sharing /li /ul h3Required Skills: /h3 ul li8+ years hands‑on industry experience solving data science and machine learning problems to address real-world business problems across multiple verticals /li liExpert programming skills in Python and SQL and with relevant Data Science ML frameworks (Scikit-learn, Pandas, PyTorch, etc) /li liAbility to think through problems from fundamental principles and operate with a high degree of independence and autonomy while bringing clarity to under-specified problems /li liDeep understanding of statistical and ML algorithms,



methodologies and approaches ranging from SVMs to deep learning LLMs /li liAbility to own the end to end of the lifecycle of ML/AI projects from conception to containerization /li liHistory of hands‑on ownership implementer of projects that have been put in production and made an impact /li liExperience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems /li liStrong problem‑solving skills with excellent verbal written communication and the ability to craft analysis into well‑written and persuasive content /li liAbility to work collaboratively with cross‑functional teams /li /ul h3Nice to have skills /h3 ul liMaster's or PhD degree in Computer Science, AI, Physics, Applied Mathematics, Machine Learning, or related fields. /li liDeep understanding of current DataOps MLOps practices, deploying and monitoring models and ETL (extract, transform and load) pipelines /li liExperience with AI/ML RD /li liExperience across startups and enterprise firms /li liExperience with distributed data tools (e.g. Spark, Dask, Apache Arrow), observability frameworks (OTel) /li /ul h3"Come as you are" /h3 pEveryone 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. /p h3ESG /h3 p"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.” /p h3The most trusted digital enabler /h3 pteam.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. /p /p #J-18808-Ljbffr

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