Introduction:
At Huuuge Games we make top-grossing mobile games that bring people together through fun and social experiences.
Become part of an exciting adventure, bringing joy to millions of players around the world from one of our offices in Poland.
We are an in-office-first company and operate in a hybrid model (3 days from the office).
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.
We thought you’d appreciate:
Skills Required
- 5+ years of experience in Data Science or Machine Learning
- End-to-end ownership of ML or analytics projects from concept through production
- Strong theoretical and practical knowledge of statistics, machine learning, and experimental design
- Hands-on experience with Python, including pandas, NumPy, scikit-learn, TensorFlow or PyTorch, and statsmodels
- Proficiency in SQL
- Experience with PySpark or other big data tools
- Familiarity with cloud infrastructure, MLOps, and deployment practices
- Ability to communicate complex insights clearly to non-technical audiences
- Product Data Science experience focused on experimentation, causal inference, and data-driven product decisions
- Experience building scalable, production-level data science solutions using software engineering best practices
- Experience with Bayesian modeling and probabilistic programming, such as PyMC, TFP, or NumPyro
- Passion for mobile games and understanding of player behavior and game economy modeling
Huuuge, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Huuuge, Inc. and has not been reviewed or approved by Huuuge, Inc..
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Wellbeing & Lifestyle Benefits — Hybrid work, flexible hours, free daily meals, stocked kitchens, a game room, and company events are consistently highlighted as everyday strengths. An Employee Assistance Program and gym-related perks further support day-to-day wellbeing.
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Healthcare Strength — Core health coverage is listed among employer-verified benefits, and Poland-based materials call out private medical insurance as part of the baseline package. These signals point to a solid healthcare foundation across several locations.
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Leave & Time Off Breadth — Paid vacation/holidays and sick leave appear in the employer-verified benefits set. This suggests a standard but complete time-off offering alongside flexible work arrangements.
Huuuge, Inc. Insights
What We Do
Huuuge, Inc. is a global developer and publisher of free-to-play mobile games, emphasizing social and real-time gaming experiences.
