Senior Data Scientist - Personalization for Mobile Gaming

Huuuge Games; Bydgoszcz; Hybrid; PLN 320,000 - 420,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Huuuge Games is seeking a Senior Data Scientist to lead end-to-end ML initiatives in a data-driven product environment. You will design and productionize models to boost player engagement and monetization, and shape experimentation at scale.

You will collaborate with Product, Marketing and Engineering, applying advanced statistics and causal inference, while promoting best practices in Data & AI across the company in a hybrid setup from Poland.

Qualifications

• 5+ years of data science or ML experience in product-driven settings.
• End-to-end ownership of ML/analytics projects.
• Strong statistics, ML theory and experimental design.
• Hands-on Python experience (pandas, numpy, scikit-learn, TF/ PyTorch, statsmodels).
• SQL proficiency; experience with PySpark or big data tools.
• Knowledge of Cloud, ML Ops, Databricks, MLFlow, and GitHub Actions.
• Ability to communicate complex insights to non-technical audiences.
• Proactive and ownership-driven in a fast-paced environment.

Responsibilities

• Lead 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 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.

Skills

End-to-end ML projects

Python

SQL

PySpark

Cloud & MLOps

Experimentation design

Statistical modeling

Communication of insights

Ownership mindset

Data-driven product

Education

Bachelor’s degree or higher in a related field

Tools

TensorFlow/PyTorch

Databricks

MLflow

GitHub Actions

pandas

numpy

scikit-learn

statsmodels

PySpark

Job description

Huuuge Games is seeking a Senior Data Scientist to lead end-to-end ML initiatives in a data-driven product environment. You will design and productionize models to boost player engagement and monetization, and shape experimentation at scale.

You will collaborate with Product, Marketing and Engineering, applying advanced statistics and causal inference, while promoting best practices in Data & AI across the company in a hybrid setup from Poland.