Data Scientist

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 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!

• 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.

• 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, Num Py, 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 Tensor Flow, PyTorch, Keras, or similar frameworks.

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

• 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.