Hybrid Data Scientist: ML Pipelines & Feature Engineering
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Summary
A mid-level data scientist in Kraków (hybrid: 2 days office, 3 remote) who builds and optimizes ML pipelines and does feature engineering, collaborating with data teams. Core stack: Python (PySpark, pandas), SQL, and models like XGBoost, LightGBM, MLPs, and autoencoders.
ITDS is seeking a Mid-Level Data Scientist in Kraków for a hybrid role (2 days in office, 3 days remote). You will develop and optimize ML pipelines, perform feature engineering, and collaborate with data teams to drive impactful insights.
Ideal candidates have 3+ years in ML pipelines, hands-on with XGBoost, LightGBM, MLP, autoencoders, SQL and Python (PySpark, pandas); knowledge of Apache Spark is a plus. EU work eligibility required.