Senior Data Scientist (Gaming)

TL;DR

Senior Data Scientist (Gaming): Design and deliver advanced machine learning models to drive player value, engagement, and growth across the player lifecycle with an accent on player behaviour understanding, retention, monetisation, and personalisation. Focus on owning ambiguous problem spaces, applying techniques like transformers and sequence modelling, and ensuring scalable production-ready solutions.

Company

Global leader in entertainment producing the hirify.global family of products and services including hirify.global®5, hirify.global®4, hirify.global®VR, hirify.global®Plus, and acclaimed software titles from hirify.global Studios.

What you will do

• Design and deliver advanced machine learning models to drive player value, engagement, and growth across the lifecycle.
• Own ambiguous problem spaces, defining modelling approaches and breaking down complex business challenges into actionable solutions.
• Partner with senior stakeholders to shape strategies and ensure Data Science drives high-impact decisions.
• Apply advanced machine learning techniques, including deep learning and sequence modelling, to capture complex player behaviours.
• Evaluate and select modelling approaches balancing performance, scalability, and interpretability.
• Work with cross-functional teams to ensure solutions are scalable, production-ready, and aligned with long-term architecture.
• Mentor other data scientists and contribute to best practices.
• Communicate complex modelling approaches and outcomes to technical and non-technical audiences.

Requirements

• Proven industry experience delivering impactful, production-ready machine learning solutions in customer value, retention, or personalisation.
• Strong expertise in modern machine learning approaches, including transformers, embeddings, or sequence-based models for behavioural data.
• Ability to critically assess when advanced approaches are warranted versus simpler solutions.
• Experience owning projects end-to-end, including problem definition, navigating ambiguity, and delivering impactful solutions.
• Ability to work with large, complex datasets and translate them into scalable solutions.
• Strong stakeholder management and communication skills to influence decisions.
• Proficiency in Python, SQL, and modern ML tooling (Tensorflow, PyTorch, MLlib, feature stores); experience with PySpark or equivalent.
• Strong academic background, typically Master’s or PhD in a technical or quantitative field specialising in Machine Learning.
• Experience deploying models into production and maintaining business-critical models.

Nice to have

• Background in gaming, e-commerce, or subscription-based businesses.
• Industry experience with experimentation frameworks and causal inference.
• Experience working in agile, fast-paced environments.

Culture & Benefits

• Inclusive environment that empowers employees and embraces diversity.
• Encourages passion and curiosity for innovation, technology, and play.
• Global team with focus on data-driven strategies for player delight.