About the Role

We’re looking for an ML and Data Engineer who’s passionate about gaming to join our data team. At Incytel Games, we believe great games are powered by great data.

In this role, you’ll work across the full data spectrum: building scalable data pipelines, developing and managing data warehouses, training machine learning models, and turning data into insights that help us create and support better games.

What You’ll Do

Develop, deploy, and monitor machine learning models that predict player engagement, churn, and monetization. All is integrated within an MLOps framework for continuous training, deployment, and monitoring. Build clustering models to segment and label users based on their purchase and gameplay behavior. Collaborate with product managers, game designers and engineers to translate data into actionable insights that improve gameplay, business performance, and retention. Design, build, and maintain ETL pipelines, data warehouses, and data infrastructure for player, business, and gameplay data. Contribute to AI-driven features and projects, such as smart matchmaking and personalization systems. Monitor data quality, automate workflows, and ensure the reliability of analytics, warehouse content, and models in production. Support A/B testing, cohort analysis, and behavioral segmentation to guide game design and strategic decisions.

What We’re Looking For

At least 2 years of experience in AI or data engineering, ideally in gaming or consumer tech. Strong programming skills in Python (pandas, scikit-learn, PyTorch/TensorFlow). Proficiency in SQL (PostgreSQL preferred) and experience with large-scale data handling. Hands-on experience building and maintaining ETL/data pipelines (Airflow, Prefect, or dbt). Solid understanding of machine learning, statistical modeling, and experiment design. Strong problem-solving skills with the ability to diagnose and address data and system issues. Excellent communication and collaboration skills; comfortable working with managers as well as technical and creative teams. Familiarity with Metabase or other BI tools. Nice to Have

Experience with game analytics, including player segmentation, retention modeling, or in-app purchase prediction. Passion for mobile games and a deep understanding of player psychology.