Data Scientist
Job Summary
Job Description
- 3+ years of hands-on experience delivering machine learning models to production
- Strong knowledge of machine learning algorithms and theory
- Knowledge of Python machine learning ecosystem
- Good knowledge of MLOps
- Good software background
- Strong skills in teamwork, communication, and analytical thinking
- Fluency in English
- Experience with Big Data tools (Spark/PySpark) and cloud environment (Azure/Databricks)
- Knowledge of Deep Learning
- Experience in recommendation systems
- Experience in GenAI application development
- Relevant industry experience (Fraud detection, CRM, Sportsbook)
8 skills required
Job Details
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
As a Data Scientist, you will be at the core of 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 good understanding of machine learning and proven experience in building ML/AI powered applications in production.
As a Data Scientist you will:
- Translate product requirements to machine learning problems;
- Analyze data to identify significant patterns and generate insights;
- Perform exploratory data analysis (EDA) and feature engineering to support the modeling process;
- Implement ML algorithms to solve complex problems;
- Apply best practices in model selection, parameter tuning, etc.
- Run comparative experiments for model training;
- Analyze ML metrics to evaluate different potential solutions.
What you’ll bring:
Must have:
- 3+ years of hands-on experience in delivering machine learning models to production;
- Strong knowledge of machine learning algorithms and respective theory;
- Knowledge of the Python machine learning ecosystem;
- Good knowledge of MLOps;
- Good software background;
- 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;
- Knowledge of Deep learning;
- Experience in recommendation systems.
- Experience in GenAI application development
- Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.
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About The Company
Kaizen Gaming is one of the biggest and fastest growing GameTech companies in the world. With a focus on Technology and People we aim to continually improve our products and services to provide the best and most trusted online gaming experience to our customers around the world.
We operate two brands in 13 countries: Betano (Portugal, Romania, Germany, Brazil, Bulgaria, Czech Republic, Chile, Peru, Ecuador, Canada-Ontario, Nigeria) and Stoiximan (Greece, Cyprus), and employ more than 2,200 people across three continents. Obsessed with our customers, we use technology and data to constantly push the boundaries of online gaming entertainment.
Why work with us
💻Tech the Ride | Our Adventure
We have made it our quest to shape and influence the GameTech industry globally. We Kaizeners move fast and make things happen: we imagine, develop and build with no
limitations. Working here means getting the freedom to explore as you help us create the technology that powers entertainment.
😎Pick #oneteam | Our Culture
We each have a role to play in building a company culture we can all trust. We Kaizeners are open, direct and respectful; we support each other to reach our goals as
#oneteam. Working here means facing challenges that inspire the team to be on its A-game to get the job done.
☝ Level up | Our Growth
We know our hard work will take us places. We Kaizeners get plenty of opportunities to supercharge our potential as the company grows, overcoming challenges with the support of our colleagues. Working here means continually finding new boundaries to push and new career horizons to reach.
Press Play on Potential!
Join our #oneteam
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