Qureos Mentor

High 5 Games

<div>We&rsquo;re looking for a Junior Data Scientist to help shape and expand the analytics backbone of our games ecosystem. This role is both deeply technical and highly collaborative&mdash;you&rsquo;ll work across teams and disciplines to transform complex data into actionable insights that drive product innovation, player engagement, and business growth.

The ideal candidate will have a quantitative background, a good understanding of statistics, logic; clean and effective communication skills, an understanding of python and a genuine interest in solving complex problems. A desire to learn quickly and iterate through difficult problems efficiently.

You&rsquo;ll thrive here if you combine quantitative curiosity, a problem-solving mindset, the ability to work in ambiguous, evolving contexts, and the determination to own projects end to end, from research to real-world impact. You will play a crucial role in scaling data science products that have a direct impact on the success of High 5 Games! 

What You&rsquo;ll Do
<ul>
<li>Design, implement, and maintain robust data pipelines, from event generation through ETL to clean, intelligent storage.</li>
</ul><ul><li>Retrieve, process, and integrate data using APIs and webhooks, ensuring quality, accuracy, and integrity at every step.</li>
</ul><ul><li>Develop reporting layers&mdash;dashboards, automated reports, and notifications&mdash;to deliver insights across teams.</li>
</ul><ul><li>Curate raw data into meaningful structures for CRM, product, and monetization teams.</li>
</ul><ul><li>Build predictive and optimization models for areas like player lifetime value, churn prediction, monetization strategies, and game recommendations.</li>
</ul><ul><li>Define and execute multivariate testing frameworks to optimize product and campaign performance.</li>
</ul><ul><li>Explore and apply state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges.</li>
</ul><ul><li>Deeply understand and navigate the abstract mechanics of our ecosystem&mdash;game economies, monetization levers, RTPs, and more.</li> 
</ul>
Requirements
<ul>
<li>Degree in a quantitative field</li>
</ul><ul><li>Programming experience in a scripting language such as Python or R</li>
</ul><ul><li>Fundamental understanding of statistics and machine learning models</li>
</ul><ul><li>Knowledge of statistical testing, data visualization, and data mining</li>
</ul><ul><li>Proficiency in SQL</li>
</ul><ul><li>Strong problem-solving skills</li>
</ul><ul><li>Resilience against difficult tasks</li>
</ul><ul><li>Solid and effective English communication skills</li>
</ul><ul><li>Attention to detail</li> 
</ul>
Nice to have
<ul>
<li>Post Grad/Masters degree in a quantitative field or 1+ years of professional experience in a relevant field (technology/gaming/algorithms/research&hellip;)</li>
</ul><ul><li>Experience working with GCP tech stack</li>
</ul><ul><li>An understanding of database design and management</li>
</ul><ul><li>Experience in developing and applying machine learning algorithms to real problems</li></ul></div>

Senior Data Scientist

<div>We&rsquo;re looking for a Junior Data Scientist to help shape and expand the analytics backbone of our games ecosystem. This role is both deeply technical and highly collaborative&mdash;you&rsquo;ll work across teams and disciplines to transform complex data into actionable insights that drive product innovation, player engagement, and business growth.

The ideal candidate will have a quantitative background, a good understanding of statistics, logic; clean and effective communication skills, an understanding of python and a genuine interest in solving complex problems. A desire to learn quickly and iterate through difficult problems efficiently.

You&rsquo;ll thrive here if you combine quantitative curiosity, a problem-solving mindset, the ability to work in ambiguous, evolving contexts, and the determination to own projects end to end, from research to real-world impact. You will play a crucial role in scaling data science products that have a direct impact on the success of High 5 Games! 

What You&rsquo;ll Do
<ul>
<li>Design, implement, and maintain robust data pipelines, from event generation through ETL to clean, intelligent storage.</li>
</ul><ul><li>Retrieve, process, and integrate data using APIs and webhooks, ensuring quality, accuracy, and integrity at every step.</li>
</ul><ul><li>Develop reporting layers&mdash;dashboards, automated reports, and notifications&mdash;to deliver insights across teams.</li>
</ul><ul><li>Curate raw data into meaningful structures for CRM, product, and monetization teams.</li>
</ul><ul><li>Build predictive and optimization models for areas like player lifetime value, churn prediction, monetization strategies, and game recommendations.</li>
</ul><ul><li>Define and execute multivariate testing frameworks to optimize product and campaign performance.</li>
</ul><ul><li>Explore and apply state-of-the-art AI and ML techniques, in real-time processes, proposing innovative approaches for real-world challenges.</li>
</ul><ul><li>Deeply understand and navigate the abstract mechanics of our ecosystem&mdash;game economies, monetization levers, RTPs, and more.</li> 
</ul>
Requirements
<ul>
<li>Degree in a quantitative field</li>
</ul><ul><li>Programming experience in a scripting language such as Python or R</li>
</ul><ul><li>Fundamental understanding of statistics and machine learning models</li>
</ul><ul><li>Knowledge of statistical testing, data visualization, and data mining</li>
</ul><ul><li>Proficiency in SQL</li>
</ul><ul><li>Strong problem-solving skills</li>
</ul><ul><li>Resilience against difficult tasks</li>
</ul><ul><li>Solid and effective English communication skills</li>
</ul><ul><li>Attention to detail</li> 
</ul>
Nice to have
<ul>
<li>Post Grad/Masters degree in a quantitative field or 1+ years of professional experience in a relevant field (technology/gaming/algorithms/research&hellip;)</li>
</ul><ul><li>Experience working with GCP tech stack</li>
</ul><ul><li>An understanding of database design and management</li>
</ul><ul><li>Experience in developing and applying machine learning algorithms to real problems</li></ul></div>

Junior Data Scientist

<div>We are looking for a Machine Leaning Engineer (MLE) to design, build, and optimize our machine learning operations. You will play a crucial role in scaling AI models from research to production, ensuring smooth model deployment, monitoring, and lifecycle management across our Google Cloud Platform (GCP) infrastructure. You'll work closely with data scientists, ML Ops, and data engineers to automate workflows, improve model performance, and ensure reliability for our AI that serves millions of players worldwide. 
What You'll Do
<ul>
<li>Design, develop, and deploy machine learning models and solutions, leveraging tools such as LangGraph and MLflow for orchestration and lifecycle management.</li>
<li>Collaborate on building and maintaining scalable data and feature pipeline infrastructure for real-time and batch processing using tools like BigQuery, BigTable, Dataflow, Composer(Airflow), PubSub, and Cloud Run to support ML model training and inference.</li>
<li>Develop and implement robust strategies for model monitoring and observability to detect model drift, bias, and performance degradation, leveraging tools like Vertex AI Model Monitoring and custom dashboards.</li>
<li>Optimize ML model inference performance to improve latency and cost-efficiency of AI applications.</li>
<li>Ensure the overall reliability, performance, and scalability of the ML models and data infrastructure platform, including proactive identification and resolution of issues related to model performance and data quality.</li>
<li>Troubleshoot and resolve complex issues impacting ML models, data pipelines, and production AI systems.</li>
<li>Ensure AI/ML models and workflows meet data governance, security, and compliance requirements, specifically for real-money gaming.</li>
</ul>
What We're Looking For
<ul>
<li>1+ years of experience as an ML Engineer, with a focus on developing and deploying machine learning models in production environments.</li>
<li>Strong experience in Google Cloud Platform (GCP), including services relevant to ML and data infrastructure such as BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub and Composer (Airflow).</li>
<li>Solid grasp of containerization (Docker, Kubernetes) and experience with Kubernetes orchestration platforms like GKE for deploying ML services.</li>
<li>Experience building and deploying scalable data pipelines and machine learning models in production environments.</li>
<li>Understanding of model monitoring, logging, and observability best practices for ML models and applications.</li>
<li>Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li>
<li>Familiarity with AI orchestration concepts using tools like LangGraph or LangChain is a bonus.</li>
<li>Bonus experience includes working in gaming, real-time fraud detection, or AI personalization systems and Agentic workflows.</li></ul></div>

Machine Leaning Engineer with an Agentic focus

<div>We are looking for a Machine Leaning Engineer (MLE) to design, build, and optimize our machine learning operations. You will play a crucial role in scaling AI models from research to production, ensuring smooth model deployment, monitoring, and lifecycle management across our Google Cloud Platform (GCP) infrastructure. You'll work closely with data scientists, ML Ops, and data engineers to automate workflows, improve model performance, and ensure reliability for our AI that serves millions of players worldwide. 
What You'll Do
<ul>
<li>Design, develop, and deploy machine learning models and solutions, leveraging tools such as LangGraph and MLflow for orchestration and lifecycle management.</li>
<li>Collaborate on building and maintaining scalable data and feature pipeline infrastructure for real-time and batch processing using tools like BigQuery, BigTable, Dataflow, Composer(Airflow), PubSub, and Cloud Run to support ML model training and inference.</li>
<li>Develop and implement robust strategies for model monitoring and observability to detect model drift, bias, and performance degradation, leveraging tools like Vertex AI Model Monitoring and custom dashboards.</li>
<li>Optimize ML model inference performance to improve latency and cost-efficiency of AI applications.</li>
<li>Ensure the overall reliability, performance, and scalability of the ML models and data infrastructure platform, including proactive identification and resolution of issues related to model performance and data quality.</li>
<li>Troubleshoot and resolve complex issues impacting ML models, data pipelines, and production AI systems.</li>
<li>Ensure AI/ML models and workflows meet data governance, security, and compliance requirements, specifically for real-money gaming.</li>
<li>
</li></ul>What We're Looking For
<ul>
<li>1+ years of experience as an ML Engineer, with a focus on developing and deploying machine learning models in production environments.</li>
<li>Strong experience in Google Cloud Platform (GCP), including services relevant to ML and data infrastructure such as BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub and Composer (Airflow).</li>
<li>Solid grasp of containerization (Docker, Kubernetes) and experience with Kubernetes orchestration platforms like GKE for deploying ML services.</li>
<li>Experience building and deploying scalable data pipelines and machine learning models in production environments.</li>
<li>Understanding of model monitoring, logging, and observability best practices for ML models and applications.</li>
<li>Experience in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).</li>
<li>Familiarity with AI orchestration concepts using tools like LangGraph or LangChain is a bonus.</li>
<li>Bonus experience includes working in gaming, real-time fraud</li></ul></div>

Join High 5 Games and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

High 5 Games

ABOUT_COMPANY

Senior Data Scientist

Senior Data Scientist

Junior Data Scientist

Machine Leaning Engineer with an Agentic focus

Machine Leaning Engineer with an Agentic focus

Junior Data Scientist