Senior Data Scientist

Job description

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!

We're looking for a Senior Data Scientist to design, build, and operate the scalable data platforms behind a global payments & financial-services leader's marketing services products. You'll enable campaign measurement, customer insights, reporting, and AI/ML initiatives — partnering with Product, Engineering, Data Science, and Business stakeholders to turn complex data challenges into secure, reliable, high-quality solutions at enterprise scale.

Your day will look like: - Define business problems and translate them into data science solutions. - Collect, clean, and analyze large datasets. - Develop and optimize machine learning and statistical models. - Communicate analytical findings and recommendations to stakeholders. - Work with stakeholders to understand business problems and contribute to how they're solved with ML/Optimization. - Analyze messy data from various data sources. - Build robust Supervised/Unsupervised ML pipelines, with the support and guidance from senior team members. - Maintain and improve existing ML solutions.

Requirements - A STEM Bachelor’s degree from a reputable university - Master’s degree in Statistics/Data Science/Operations Research or equivalent is a strong plus. - Work Experience: 3+ years of experience in Data Science/ML roles.   - Programming: Deep understanding of algorithmic thinking. Ability to distinguish between good (clean, efficient and maintainable) and bad python code and gradual adoption of best practices. Understanding of SQL is a plus. - ML / Data Science skills: Good understanding of ML with exposure to at least two real world projects involving Supervised, Unsupervised or Reinforcement Learning/Optimization. The ability to explore large, complex datasets to understand them before modeling (EDA, plotting). - Statistics: have a solid grasp of basic probability and statistical theory (random variables & distributions, conditional probability & Bayes’ Theorem, expected value & measures of dispersion, hypothesis testing & p-values etc.) - Business acumen: be able to translate business requirements into clean modeling practices and understand that the simplest solution that works is usually the best one. - Learning & Adaptability: be curious and willing to learn new methods, frameworks and techniques - Tools, Libraries & Frameworks: pandas/polars for data manipulation, cleaning & exploration, scikit-learn for classical machine learning workflows, xgboost/lightgbm/catboost for high-performance gradient boosting ensembles. Knowledge of git for version controlling, UV for python version and package management or pytorch for building, training and deploying DNNs is a plus.

Nice to haves: - Experience with FastAPI and Docker for building ML-centric applications - Working cloud knowledge (preferably Azure) - Familiarity with MLOps tracking platforms like MLflow

Benefits - Competitive Salary – A rewarding package that reflects your skills and experience.  - Flexible Working – Enjoy flexible hybrid model in our modern Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).  - Health & Wellness Benefits – Private insurance, and the chance to work with a stellar crew.  - Learning & Development – 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.  - Career Growth – Clear opportunities to develop your skills and progress within the company.  - Great Team & Culture – Work with talented, supportive people in a collaborative environment.  - Team Events & Perks – Enjoy social events, celebrations, and exclusive employee benefits.  - Modern Tools & Technology – Everything you need to do your best work.  - A Workplace That Values You – Your ideas, contribution, and well-being genuinely matter

Ready to create some data magic with us? Hit that apply button and let's get started.