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Open nowPosted 211 days ago

Data Science Team Lead

Kaizen Gaming42 open roles

Where
Athens, Greece
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Your applicationOpen nowData Science Team LeadKaizen Gaming · Athens, Greece

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Kaizen Gaming's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Kaizen Gaming postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.5%3 days
  3. 8.0%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 211 days ago

Kaizen Gaming median: 1 days open

The posting

We are Kaizen Gaming

Kaizen Gaming, the team powering Betano, is one of the biggest GameTech companies in the world, operating in 20 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;
  • Experience with Big Data tools (Spark/PySpark) and cloud environment, ideally Azure / Databricks;
  • 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:

  • Knowledge of Deep learning;
  • Knowledge of the GenAI ecosystem and building modern RAG systems;
  • Previous experience in pricing optimisation;
  • Previous experience in forecasting;
  • Previous experience in the betting industry.

Kaizen Gaming Perks

  • 🕑 Hybrid way of working;
  • 🏃 A buddy will support you with your onboarding;
  • 💸 Competitive pay & bonus scheme;
  • ⭐Developmental 360° feedback framework;
  • 💰 Monthly meal allowance;
  • 👩‍⚕️ Private health insurance for you and your family;
  • 📚 Unlimited access to Udemy & continuous training;
  • 👨‍👩‍👧‍👦 Family Support.
  • #LI-HYBRID
  • #LI-AP

Recruitment Privacy Notice

Regarding the data you share with us, you may find and read our recruitment privacy notice here.

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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