Data Scientist

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands thought 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:

• Dive into diverse data sources, analyse them, and assess their impact on business outcomes.
• Build and optimise Data Science pipelines—balancing performance, business needs, and model complexity.
• Design and maintain ML pipelines: from data cleaning and transformation to model evaluation, hyperparameter tuning, and deployment.
• Research emerging technologies, platforms, and industry best practices to spot opportunities for innovation.
• Contribute to the evolution of our Data Analytics platform, especially in Machine Learning and MLOps capabilities.

Requirements

Your Superpowers 🚀:

• Proven Impact: Delivered at least two real-world ML projects in areas like: Recommender systems, Churn prediction & customer lifetime value modeling, Time series forecasting, Optimization (resource allocation, pricing, A/B testing), Customer segmentation & clustering
• Education: Bachelor’s degree in Mathematics, Computer Science, Electrical Engineering, Physics, or a related field—plus a Master’s in Data Science.
• Languages & Tools: Strong Python and SQL skills (R a plus), with hands-on experience in scikit-learn, pandas, NumPy, and Jupyter Notebooks.
• Visualization & Analysis: Proficient in EDA and feature engineering with tools like seaborn, plotly, and yellowbrick.
• ML Expertise: Solid grasp of machine learning algorithms (classification, regression, clustering, Bayesian learning, ensemble models), feature importance, and model explainability.
• Deep Learning: Familiarity with TensorFlow, PyTorch, Keras, or similar frameworks.

Bonus Points for:

• Experience with Git/GitHub (or GitLab) and collaborative dev workflows.
• Exposure to MLOps platforms and tools.
• Use of AI-assisted development tools (like GitHub Copilot) to boost productivity and code quality.

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.