Senior Data Scientist

Satori Analytics; Kentucky; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible hybrid model

Private health insurance

Training budget

Career growth

Team events

Modern tooling

Valued workforce

Job summary

Satori Analytics is seeking a Senior Data Scientist to design, build, and operate scalable data platforms for enterprise-grade analytics and AI initiatives. You will enable campaign measurement, customer insights, and AI initiatives by collaborating with Product, Engineering, Data Science, and Business teams.

You will craft robust ML pipelines, explore large datasets (EDA), and translate complex data challenges into actionable business outcomes while maintaining high-quality standards.

Qualifications

• 3+ years of experience in Data Science/ML roles.
• Strong Python coding practices and clean, maintainable code.
• Ability to translate business problems into ML/analytic solutions.
• Experience with ML pipelines and feature engineering.

Responsibilities

• Define business problems and translate them into data science solutions.
• Collect, clean, and analyze large datasets.
• Develop and optimize ML models and pipelines.
• Communicate findings to stakeholders and drive decision making.
• Collaborate with Product, Engineering, and Business teams to deploy models.
• Maintain and improve existing ML solutions.

Skills

Python

SQL

EDA

Model evaluation

Communication

Problem solving

Team collaboration

Education

Bachelor’s STEM degree

Master’s degree (Statistics/Data Science/OR)

Tools

pandas

scikit-learn

xgboost

lightgbm

catboost

Git

PyTorch

FastAPI

Docker

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.

• 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

• 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