We are looking for a Senior Data Scientist to join a Growth Alliance team focused on AI-driven decisioning and user-facing machine learning systems. This role is suited for a technically strong data scientist who is equally comfortable working with business stakeholders and operating production ML systems at scale.

About the Project:
This is a high-impact role working directly on systems that influence end-user experience and conversion. You will operate in a real-time environment with strict low-latency requirements (<40 ms), contributing to a shift toward AI-driven decisioning aimed at improving product performance and increasing conversion rates. The work spans production ML pipelines, experimentation, and personalization, not just research or experimentation in isolation.

Responsibilities:

Design, develop, and deploy production machine learning models with real-time constraints;
Build and maintain recommendation systems, uplift models, and contextual bandit frameworks;
Conduct A/B testing, causal inference analyses, and statistical hypothesis testing;
Develop and maintain feature engineering pipelines at scale using PySpark / Apache Spark;
Monitor and validate deployed models to ensure performance and reliability;
Collaborate closely with business stakeholders to challenge assumptions and define the right problems;
Contribute to generative AI and LLM-based personalization initiatives;
Work with decisioning platforms, personalization engines, and Martech integrations.

Qualifications:

7+ years of commercial experience in Data Science with a strong production ML focus;
Proficiency in Python (NumPy, Pandas, Scikit-learn) and SQL;
Hands-on experience with gradient boosting methods (XGBoost, LightGBM);
Experience with recommendation systems, clustering, NLP, and uplift modeling;
Solid background in A/B testing frameworks, causal inference, and statistical modeling;
Experience with feature engineering and production ML pipelines at scale;
Cloud platform experience, preferably AWS;
Familiarity with LLMs, prompt engineering, and GenAI for content personalization;
Strong communication skills and ability to work in a highly business-facing environment;
Databricks experience is a nice to have.

Recruitment Process:

Initial interview with our recruitment team;
Interview with the hiring manager;
Live Coding Assessment;
Meeting with the Project Manager.

Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.