
Data Science Manager
Satori Analytics
full-time
Posted on:
Location Type: Hybrid
Location: Athens • Greece
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About the role
- **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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningsupervised learningunsupervised learningPythonDeep LearningNLPComputer VisionGenerative AIML pipelinesAI architecture
Soft Skills
team managementmentoringstakeholder managementexecutive communicationinnovationproblem-solvingtranslating complex conceptsfostering ownershiphigh standardscontinuous development
Certifications
MScPhD