Senior Data Scientist

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.