Data Science Manager
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.
Requirements
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.
Benefits
Perks on Perks:
- Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
- Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
- Private insurance, top-tier tech gear, and the chance to work with a stellar crew.
Ready to create some data magic with us? Hit that apply button and let’s get started.