Applied Data Scientist

Experteer Overview As a Senior Applied Data Scientist at team.blue, you will develop data science and ML solutions that address real-world business challenges across our group.You’ll own end-to-end model lifecycles, from conception and experimentation to deployment, monitoring and retraining, with a strong focus on ROI and impact metrics.You will translate complex analytical findings into actionable insights for stakeholders and collaborate with cross-functional teams to drive measurable business value.This role offers the chance to work at the intersection of AI, product thinking, and innovation, shaping how we use data to advance our mission.Compensaciones / Beneficios * Break down multi-domain business problems and define technical approaches for ROI impact * Develop data science and ML models, including GenAI, and build robust pipelines from feature generation to deployment * Own end-to-end lifecycle of ML/AI projects (conception, containerization, deployment, retraining) * Translate model outcomes into clear, actionable insights for stakeholders to drive business metrics * Collaborate with cross-functional teams to deliver innovative DS/ML/AI solutions * Conduct research on latest DS/ML/AI developments and apply them to systems * Document processes, code, and findings for knowledge sharing Responsabilidades * 8+ years hands-on industry experience in data science and ML for real-world business problems * Expert programming in Python and SQL; familiarity with DS/ML frameworks (Scikit-learn, Pandas, PyTorch) * Strong problem-solving ability with independence and clarity in under-specified problems * Deep understanding of statistical and ML algorithms from traditional methods to deep learning and LLMs * Experience delivering ML/AI projects end-to-end, including production deployment * Experience applying statistical concepts such as regressions, A/B tests, clustering * Excellent verbal and written communication with ability to craft persuasive analyses * Ability to work collaboratively with cross-functional teams Requisitos principales *

This role offers the chance to work at the intersection of AI, product thinking, and innovation, shaping how we use data to advance our mission. Compensaciones / Beneficios * Break down multi-domain business problems and define technical approaches for ROI impact * Develop data science and ML models, including GenAI, and build robust pipelines from feature generation to deployment * Own end-to-end lifecycle of ML/AI projects (conception, containerization, deployment, retraining) * Translate model outcomes into clear, actionable insights for stakeholders to drive business metrics * Collaborate with cross-functional teams to deliver innovative DS/ML/AI solutions * Conduct research on latest DS/ML/AI developments and apply them to systems * Document processes, code, and findings for knowledge sharing Responsabilidades * 8+ years hands-on industry experience in data science and ML for real-world business problems * Expert programming in Python and SQL; familiarity with DS/ML frameworks (Scikit-learn, Pandas, PyTorch) * Strong problem-solving ability with independence and clarity in under-specified problems * Deep understanding of statistical and ML algorithms from traditional methods to deep learning and LLMs * Experience delivering ML/AI projects end-to-end, including production deployment * Experience applying statistical concepts such as regressions, A/B tests, clustering * Excellent verbal and written communication with ability to craft persuasive analyses * Ability to work collaboratively with cross-functional teams Requisitos principales *