Senior Data Scientist

Summary

Join Kaizen Gaming, a leading GameTech company, as a Senior Data Scientist and be at the forefront of our AI developments. You will translate product requirements into machine learning problems, analyze data to identify patterns and generate insights, and apply best practices in model selection and parameter tuning. You will manage the full lifecycle of AI features and mentor junior team members. This role requires expert knowledge of machine learning algorithms, extensive experience in delivering models to production, and strong teamwork and communication skills. The ideal candidate will also have experience with Big Data tools and cloud environments. Kaizen Gaming offers a hybrid work model, competitive pay and bonuses, private health insurance, and various other benefits.

Requirements

• 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

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

Preferred Qualifications

• 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

Benefits

• Hybrid way of working & remote options
• 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