Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 17 markets with 2 brands (Betano & Stoiximan).
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 2.500 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?
Role Overview As a Senior Data Scientist , you will be at the forefront of our AI developments, analyzing data, building machine learning models to support our AI products and working along with the rest of the tech team to create successful AI products. The ideal candidate will have a deep understanding of machine learning algorithms and proven extensive experience in building ML/AI powered applications in production.
Responsibilities Translate product requirements to machine learning problems and identifying areas where AI can have the most business impact;
Analyze data to identify significant patterns and generate actionable insights;
Perform exploratory data analysis (EDA) and feature engineering to support the modeling process;
Apply best practices on model selection, parameter tuning, etc.;
Analyze ML metrics to evaluate different potential solutions;
Manage the full lifecycle of AI features, from data collection to model design and to implementation and optimization in production environments;
Mentor and guide junior members, sharing knowledge and leading complex projects.
Qualifications Must have:
Expert knowledge of machine learning algorithms and respective theory;
Extensive hands-on experience in delivering machine learning models to production;
Experience in developing MLOps solutions;
Knowledge of the Python machine learning ecosystem and a solid software background in OOP;
Knowledge of Deep Learning;
Strong skills in teamwork, communication, and analytical thinking;
Fluency in English, both oral and written.
Nice to have:
Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
Experience in recommendation systems;
Relevant industry experience, i.e., Fraud detection, CRM, Sportsbook, etc.
Location and Benefits Hybrid way of working.
A buddy will support you with your onboarding.
Private health insurance for you & your family.
Monthly meal allowance.
Nice Rigs - 2.5K monitor, latest i7, tons of RAM, fast SSD.
Unlimited access to Udemy & continuous training.
Commuting allowance.
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