Data Science Team Lead

1 Month ago • All levels • Data Analysis

Job Summary

Job Description

Kaizen Gaming, powering Betano, is a leading GameTech company operating in 19 markets, focused on leveraging cutting-edge technology to deliver exceptional experiences to millions of customers. As a Data Science Team Lead, you will guide an AI product team in delivering high-impact AI products. This involves analyzing data, building machine learning models, and collaborating with the tech team. The ideal candidate possesses deep understanding of machine learning algorithms, proven experience in production ML/AI applications, and prior experience managing AI teams. Responsibilities include managing a team of 5-7 data scientists and ML engineers, translating product requirements into ML problems, analyzing data for patterns and insights, performing EDA and feature engineering, implementing best practices for model selection and tuning, running comparative experiments, analyzing ML metrics, managing the full lifecycle of AI features, and mentoring junior team members.
Must have:
  • Previous experience as a people manager
  • Expert knowledge of machine learning algorithms
  • Extensive hands-on experience delivering ML models to production
  • Experience developing MLOps solutions
  • Knowledge of Deep learning
  • Proficiency in Python's ML ecosystem and OOP
  • Strong teamwork, communication, and analytical skills
  • Fluency in English (oral and written)
Good to have:
  • Experience with Big Data tools (Spark/PySpark)
  • Experience with cloud environments (Azure/Databricks)
  • Previous experience in pricing optimization
  • Previous experience in forecasting
  • Previous experience in the betting industry

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 the team lead of an AI product team you will lead and guide the team's efforts in delivering high impact AI products. You will be at the core of AI developments, analyzing data, building machine learning models, collaborating with the tech team to create successful AI products. 

The ideal candidate will combine a deep understanding of machine learning algorithms and proven extensive experience in building  ML/AI powered applications in production along with previous experience of leading and managing AI teams.

As a Data Science Team Lead, you will:

  • Manage a team of 5 to 7 skilled data scientists and machine learning engineers. 
  • 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 insights;
  • Perform exploratory data analysis (EDA) and feature engineering to support the modeling process;
  • Implement best practices on model selection, parameter tuning and optimization.
  • Run comparative experiments for model training;
  • 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 share knowledge with more junior members and guide the team through complex projects. 

What you’ll bring

Must-have:
  • Previous experience as a people manager;
  • Expert knowledge of machine learning algorithm and their theoretical foundations;
  • Extensive hands-on experience in delivering machine learning models to production;
  • Experience in developing MLOps solutions;
  • Knowledge of Deep learning;
  • Proficiency in Python’s machine learning ecosystem and solid software engineering skills (OOP);
  • 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;
  • Previous experience in pricing optimisation;
  • Previous experience in forecasting;
  • Previous experience in the betting industry.

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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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