Data Scientist – Python & Cloud Data Platforms (f/m/x)

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Описание

We’re looking for data scientists who turn ambiguous business questions into models and analyses that actually get used. You’ll frame the problem, wrangle the data, build and validate models, and — just as importantly — explain what the numbers mean to people who don’t speak Python. Your day-to-day will revolve around the classic Python data stack: pandas, NumPy, and scikit-learn. You’ll also work on modern enterprise data platforms — running notebooks and lakehouse workloads in Microsoft Fabric, building pipelines and operational applications in Palantir Foundry, and deploying analytics on Azure, AWS, or GCP. The science matters, but so does making it work inside a real organization’s data ecosystem. Your tasks Translate business problems into analytical solutions: define hypotheses, choose metrics, and select the right modeling approach for the question at hand Explore, clean, and prepare data using Python (pandas, NumPy), working with structured and semi-structured sources of varying quality Build, validate, and tune machine learning models for classification, regression, forecasting, segmentation, and recommendation using scikit-learn, XGBoost, and statsmodels Design and analyze experiments: A/B tests, statistical hypothesis testing, and causal analysis that hold up to scrutiny Work hands-on with enterprise data platforms such as Microsoft Fabric (lakehouses, notebooks, semantic models) and Palantir Foundry (pipelines, ontology, operational workflows) Communicate findings

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