Data Science Manager job opportunity at Satori Analytics.

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Date2026-03-02T15:43:37.598Z bot
Satori Analytics Data Science Manager
Experience: 8-years
Pattern: Full-time
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loacation Athens, Greece
loacation Athens....Greece
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Are you passionate about AI? 🤖 At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications. As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond! What Your Day Might Look Like: Lead end-to-end AI delivery : Own ML initiatives from ideation to production — from forecasting and predictive models to recommender systems and explainable AI. Design for scale : Shape robust ML architectures (data pipelines, feature stores, serving layers) that are production-ready and maintainable. Grow your team : Manage and mentor Data Scientists and AI Engineers, fostering ownership, high standards, and continuous development. Bridge business & tech : Partner with commercial and product teams to identify AI opportunities and contribute to pre-sales discussions when needed. Drive best practices : Establish scalable ML standards, ensuring quality, reproducibility, and responsible AI development. Turn complexity into clarity : Translate advanced ML concepts into actionable insights for business and executive stakeholders. Push innovation forward : Bring applied research into real-world solutions that create measurable impact. Your Superpowers🚀: MSc or PhD in a quantitative field. Manager level: 6–8+ years in Data Science/ML, including 2–4+ years leading teams / Senior Manager level: 8–12+ years in advanced analytics/ML, including 4–6+ years leading larger or multi-disciplinary teams. Proven experience delivering ML solutions into production environments. Strong expertise in supervised and unsupervised learning, using Python-based ML frameworks. Experience with ML lifecycle and orchestration tools (MLflow, SageMaker, Vertex AI, Azure ML, etc.). Ability to define and drive AI strategy across business units. Strong stakeholder management and executive communication skills. Bonus Points for: Experience with Deep Learning, LLMs, NLP, Computer Vision, or Generative AI. Strong hands-on Python expertise (pandas, NumPy, scikit-learn, PyTorch/TensorFlow, XGBoost/LightGBM). Experience building modular, production-grade ML pipelines. Consulting or client-facing project experience. Involvement in pre-sales activities (solution design, proposals, RFP/RFI participation). Ability to translate business requirements into high-level AI architectures. Exposure to regulated industries. Experience shaping AI strategy at an organizational level.

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