Senior Data Scientist

Senior Data Scientist

Huuuge Games

Bydgoszcz, Szczecin or Warsaw, Poland

Join our exceptional Data Science team - a group of highly skilled, curious, and driven individuals who work with leading edge tools, shape best practices, and transform data into real business impact. As a Senior Data Scientist, you’ll enjoy significant autonomy, working on some of the most interesting challenges in mobile gaming - from player behavior modeling to building large-scale personalization systems.

How will you make an impact with us?

• Lead the design, development, and deployment of advanced data science solutions that drive measurable business impact;
• Build and productionize machine learning models for improving player engagement and monetization;
• Design methodology and develop tooling for the experimentation at scale to support data-driven decision-making;
• Implement and promote state-of-the-art methods in causal inference, statistical modelling and model validation;
• Collaborate closely with cross-functional teams (including Product, Marketing, and Engineering) to deliver end-to-end solutions;
• Shape technical standards and help build scalable internal tools;
• Ensure high-quality, maintainable, and well-documented code in a collaborative environment;
• Champion best practices in Data&AI across the company through professional communication, education, and innovation.

This is the right job for you if you have:

• 5+ years of experience in Data Science or Machine Learning, ideally in product-oriented and highly data-driven environments;
• Proven track record of end-to-end ownership of ML or analytics projects - from concept to production;
• Strong theoretical and practical knowledge in statistics, machine learning, and experimental design;
• Deep hands-on experience with Python (pandas, numpy, scikit-learn, TensorFlow/PyTorch, statsmodels);
• Proficiency in SQL and experience with PySpark or other big data tools;
• Familiarity with Cloud Infrastructure, ML Ops and deployment practices (for example Databricks, MLFlow, Github Actions);
• Ability to communicate complex insights clearly to non-technical audiences;
• A proactive, ownership-driven mindset and ability to thrive in a dynamic, fast-paced environment.

Surprise us with:

• Extensive practical experience in Product Data Science, with a strong focus on experimentation methodologies, causal inference and data-driven product decision-making;
• Experience building scalable, production-level data science solutions using best practices from software engineering;
• Experience with Bayesian modeling and probabilistic programming (PyMC, TFP, NumPyro);
• Passion for mobile games, understanding player behavior, and modeling game economy.