Data Scientist

Position Overview

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. Our cutting-edge solutions cover the entire data lifecycle—from cloud-based ecosystems for fintech to predictive models for airlines. As a fast-growing scale-up with 100+ tech specialists, including Data Engineers and Data Scientists, we deliver innovative analytics solutions across industries such as FMCG, retail, manufacturing, and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!

Key Responsibilities

• Dive into diverse data sources, analyze them, and assess their impact on business outcomes.
• Build and optimize 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.

Required Qualifications

• Proven Impact: Delivered at least two real-world ML projects in areas such as recommender systems, churn prediction & customer lifetime value modeling, time series forecasting, optimization (resource allocation, pricing, A/B testing), and 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.

Preferred Qualifications

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

Benefits & Perks

• Competitive Salary and hybrid work model – join us in our Athens office or work remotely from anywhere in the European Economic Area or UK (up to 6 weeks per year).
• Training Budget: Level up your skills with certifications or courses from top tech partners like Microsoft, AWS, Salesforce, and Databricks.
• Private Insurance, top-tier tech gear, and the chance to work with a stellar crew.