Data Science Team Lead

Kaizen Gaming

Lisbon, Portugal
Hybrid
Lead ai product team
Analyze data for patterns
Build machine learning models
Kaizen Gaming is seeking a Data Science Team Lead to guide the development of AI products in Lisbon, Portugal. The ideal candidate should have extensive experience in machine learning, team management, and the ability to deliver AI solutions that drive business impact

Job Summary

  • As the team lead of an AI product team you will lead and guide the team's efforts in delivering high impact AI products.
  • Manage a team of 5 to 7 skilled data scientists and machine learning engineers, translating product requirements to machine learning problems.
  • Kaizen Gaming offers a hybrid way of working, competitive pay & bonus scheme, and unlimited access to Udemy & continuous training.

Matching Summary

Match Score: 85

Kaizen Gaming is seeking a Data Science Team Lead to guide the development of AI products in Lisbon, Portugal. The ideal candidate should have extensive experience in machine learning, team management, and the ability to deliver AI solutions that drive business impact.

Skills & Requirements

Must-have

  • lead AI product team
  • analyze data for patterns
  • build machine learning models
  • collaborate with tech team
  • expert machine learning algorithms
  • deliver ML models to production
  • develop MLOps solutions
  • Deep learning knowledge
  • Python ML ecosystem proficiency
  • strong software engineering skills
  • teamwork and communication skills

Nice-to-have

  • experience with Big Data tools
  • cloud environment experience
  • experience in pricing optimisation
  • experience in forecasting
  • experience in the betting industry

Key Requirements

  • Previous experience as a people manager
  • Extensive hands-on experience in delivering machine learning models to production
  • Experience in developing MLOps solutions
  • Proficiency in Python’s machine learning ecosystem
  • Solid software engineering skills (OOP)
  • Fluency in English, both oral and written

Work Rights

Not specified

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