Senior Data Scientist

About this role

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.