Huuuge Games Sp. z o.o.

Senior Data Scientist

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SeniorHybryda·BydgoszczFull-time

#433211·Dodano miesiąc temu·7

Źródło: Huuuge Games

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Tech Stack / Keywords

Data ScienceMachine LearningAIPython Pandas NumPy TensorFlow PyTorch

Firma i stanowisko

At Huuuge Games we make top-grossing mobile games that bring people together through fun and social experiences. 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. We are an in-office-first company and operate in a hybrid model (3 days from the office).

Wymagania

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.

Nice to have:

Extensive practical experience in Product Data Science, focusing 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.

Obowiązki

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 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.

Benefity

Hybrid work model: 3 days from office.
Opportunity to work on top-grossing mobile games with millions of players.
Being part of a highly skilled and driven Data Science team.
Use of leading-edge tools and best practices in Data and AI.
Significant autonomy and impact on interesting challenges in mobile gaming.

Elastyczne godziny

Inne informacje

By submitting your job application (CV) you agree that Huuuge Games Sp. z o.o. can process your personal data for recruitment purposes irrespective of the Huuuge group company you apply to. The controller of your personal data for recruitment is Huuuge Games Sp. z o.o., Szczecin, Poland. You can contact the Data Protection Officer for any privacy queries at [email protected].

Huuuge Games Sp. z o.o.

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