Senior Data Scientist

Kaizen Gaming; Lisboa; Híbrido; EUR 50 000 - 70 000; Tempo integral

Resumo da oferta

A leading GameTech company in Lisbon is seeking a Machine Learning Engineer to translate product requirements into actionable machine learning solutions. The ideal candidate will have expertise in machine learning algorithms, extensive experience in deploying ML models, and strong communication skills. This role offers competitive pay, hybrid work options, and opportunities for continuous development.

Serviços

Hybrid way of working & remote options

Competitive pay and bonus scheme

Private health insurance

Monthly meal allowance

Unlimited access to Udemy & continuous training

Qualificações

• Expert knowledge of machine learning algorithm and respective theory.
• Extensive hands-on experience in delivering machine learning models to production.
• Knowledge of the Python machine learning ecosystem and solid software background in OOP.
• Fluency in English, both oral and written.

Responsabilidades

• Translate product requirements to machine learning problems.
• Analyze data to identify significant patterns and generate actionable insights.
• Manage the full lifecycle of AI features.

Conhecimentos

Machine learning algorithms

MLOps solutions

Python programming

Deep learning

Analytical thinking

Teamwork

Communication

Ferramentas

Big Data tools (Spark/PySpark)

Cloud environment (Azure / Databricks)

Descrição da oferta de emprego

Overview

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

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.;
• 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 guide junior members, sharing knowledge and leading complex projects.

What you’ll bring

Must have:

• Expert knowledge of machine learning algorithm 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 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;
• Experience in GenAI application development;
• Relevant industry experience i.e. Fraud detection, CRM, Sportsbook etc.

Kaizen Gaming Perks

• Hybrid way of working & remote options
• A buddy will support you with your onboarding
• Competitive pay and bonus scheme
• Private health insurance for you and your family
• Monthly meal allowance
• Developmental 360° feedback framework
• Unlimited access to Udemy & continuous training

#LI-Remote

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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.