Data Scientist

Athens, Greece

Kaizen Gaming

Welcome to Kaizen Gaming, the leading GameTech company in Greece and one of the fastest-growing in Europe. Check out our History, Brands, and Open Positions.

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We are Kaizen Gaming

Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 19 markets. We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.

We are a diverse team of more than 2.700 Kaizeners, from 40+ nationalities spreading across 3 continents. 

Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to Press Play on Potential?

 

 

Let's start with the role

We are looking for a highly motivated professional to join our awesome Data Science team within the BI & Analytics department and drive better business decisions by leveraging impactful scientific techniques in a rapidly growing Big Data reality.

As a Data Scientist you will
  • Translate business requirements to machine learning problems;
  • Perform EDA and feature engineering;
  • Run comparative experiments for model training;
  • Implement best practices on model selection, parameter tuning etc.

What you’ll bring

Must have:

  • A background in Computer Science, Statistics, Math or related field;
  • Strong knowledge of machine learning algorithm and respective theory;
  • 2-8 years of hands-on experience in delivering machine learning models to production;
  • Knowledge of the Python machine learning ecosystem;
  • Experience with Spark (PySpark);
  • Solid software background in OOP;
  • Strong skills in teamwork, communication, and analytical thinking;
  • Fluency in English, both oral and written.

Nice to have:

  • Experience with Azure / Databricks;
  • Knowledge of Deep learning;
  • Experience in recommendation systems.

 

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We are an equal opportunity employer committed to fostering a diverse and inclusive workplace. We welcome applications from individuals of all backgrounds, regardless of race, gender, religion, sexual orientation,or age. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Azure Big Data Computer Science Databricks Deep Learning EDA Engineering Feature engineering Machine Learning Mathematics ML models Model training OOP Privacy PySpark Python Spark Statistics

Region: Europe
Country: Greece

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