Junior Data Scientist

Satori Analytics

. Work with stakeholders to understand business problems and contribute to solving them with ML/Optimization.

Posted 9/23/2026full-timeAthens • GreeceJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining machine learning pipelines, with a strong foundation in data analysis, statistical theory, and algorithmic thinking. Proficient in Python and familiar with tools for data manipulation and machine learning, ensuring high-quality solutions at enterprise scale.

Highest-signal resume keywords

Machine Learning Pipeline DevelopmentData Analysis and ExplorationPython ProgrammingStatistical Theory and ProbabilityExperience with Scikit-Learn

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData SciencePythonSQLPandasScikit-LearnXGBoostLightGBMCatBoostStatistical Analysis

Soft Skills

Problem SolvingCollaborationCommunication

Tools & Technologies

GitPyTorchData Platforms

Certifications & Qualifications

STEM Bachelor's DegreeMaster's Degree in Statistics/Data Science/Operations Research

Industry Keywords

Machine LearningOptimizationData SourcesCampaign MeasurementCustomer InsightsEnterprise Scale

Tech Stack

Tools & technologies

PandasPythonPyTorchScikit-LearnSQL

About the role

Key responsibilities & impact

Work with stakeholders to understand business problems and contribute to solving them with ML/Optimization.
Analyze messy data from various data sources.
Build robust supervised/unsupervised ML pipelines with support and guidance from senior team members.
Maintain and improve existing ML solutions.
Design, build and operate scalable data platforms for marketing services products of a global payments and financial-services leader.
Enable campaign measurement, customer insights, reporting and AI/ML initiatives.
Partner with Product, Engineering, Data Science and Business stakeholders.
Deliver secure, reliable and high-quality solutions at enterprise scale.

Requirements

What you’ll need

STEM Bachelor’s degree from a reputable university required.
Master’s degree in Statistics/Data Science/Operations Research or equivalent is a strong plus.
At least 1 year of experience in Data Science/ML roles.
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.
Understanding of ML with exposure to at least two real-world projects involving Supervised, Unsupervised or Reinforcement Learning/Optimization.
Ability to explore large, complex datasets before modeling, including EDA and plotting.
Solid grasp of basic probability and statistical theory, including random variables and distributions, conditional probability and Bayes’ Theorem, expected value and measures of dispersion, hypothesis testing and p-values.
Experience with pandas/polars for data manipulation, cleaning and exploration.
Experience with scikit-learn for classical machine learning workflows.
Experience with xgboost/lightgbm/catboost for high-performance gradient boosting ensembles.
Knowledge of Git for version control.
Knowledge of uv for Python version and package management or PyTorch for building, training and deploying DNNs is a plus.

Benefits

Comp & perks

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.