Senior Data Scientist

Huuuge Games; Województwo mazowieckie; Ibrido; PLN 180.000 - 320.000; Tempo pieno

Descrizione del lavoro

Huuuge Games is seeking a Senior Data Scientist to lead advanced data science initiatives in a hybrid Poland-based setting. You will own end-to-end ML projects, from modeling to production, focusing on player behavior, engagement, and monetization, with autonomy and cross-functional collaboration across product, marketing, and engineering.

You will apply state-of-the-art methods in causal inference and experimental design, building scalable tools and robust models in a fast-paced mobile gaming

Competenze

• 5+ years in Data Science or ML in product-driven environments.
• End-to-end ownership of ML or analytics projects from concept to production.
• Strong grounding in statistics, ML, and experimental design.
• Hands-on Python (pandas, numpy, scikit-learn, TF/ PyTorch, statsmodels) and SQL.

Mansioni

• Lead design, development and deployment of advanced data science solutions with measurable impact.
• Build and productionize ML models to improve player engagement and monetization.
• Design tooling and experimentation at scale to support data-driven decisions.
• Apply causal inference, statistical modelling and model validation techniques.
• Collaborate with Product, Marketing and Engineering to deliver end-to-end solutions.
• Shape standards and build scalable internal data tools.
• Ensure high-quality, maintainable, well-documented code and promote Data&AI practices.

Conoscenze

Data science expertise

End-to-end ML ownership

Statistical modelling

Python programming

SQL proficiency

Big data tooling

Cloud & MLOps

Strumenti

TensorFlow

PyTorch

pandas

numpy

scikit-learn

statsmodels

Databricks

MLFlow

GitHub Actions

PySpark

Descrizione del lavoro

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.

Requirements

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.

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