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

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SeniorZdalnie·WarszawaFull-time·B2B·Umowa o pracę

#439248·Dodano miesiąc temu·2

Źródło: justjoin.it

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Tech Stack / Keywords

XGBoostscikit-learn NumPyCloud ComputingData platformsPalantir FoundrySnowflake Pandas PythonMicrosoft Fabric

Podsumowanie oferty

The Data Scientist role involves transforming business questions into actionable analytical solutions using the classic Python data stack including pandas, NumPy, and scikit-learn. The position requires building and validating machine learning models and working with modern enterprise data platforms like Microsoft Fabric and Palantir Foundry. The role emphasizes clear communication of results to both technical and non-technical stakeholders and collaboration with data engineers and ML/AI engineers to operationalize models.

Wymagania

Minimum 4 years of experience in data science or applied analytics with successful deployment beyond prototypes
Strong proficiency in Python and the standard data stack (pandas, NumPy, scikit-learn)
Solid statistical knowledge including hypothesis testing, regression, and experimental design
Experience with at least one cloud or data platform and its data science tools (e.g., Microsoft Fabric, Azure Machine Learning, AWS SageMaker, GCP Vertex AI, Snowflake, Databricks, Palantir Foundry)
Ability to clearly communicate analytical results to business stakeholders
Experience working autonomously and collaborating with data engineers, architects, and product teams
Fluent in both English and Polish (C1 level)
Residency in Poland required

Nice to have:

Production experience with Microsoft Fabric or certification in Palantir Foundry
Experience with time series forecasting, NLP, recommender systems, or LLM workflows
Familiarity with MLOps practices including MLflow, experiment tracking, and CI/CD for ML
Experience with Power BI, other BI tools, and distributed processing with Spark/PySpark

Obowiązki

Translate business problems into analytical solutions by defining hypotheses, selecting metrics, and modeling approaches
Explore, clean, and prepare data using Python (pandas, NumPy), handling structured and semi-structured sources
Build, validate, and tune machine learning models for classification, regression, forecasting, segmentation, and recommendation using scikit-learn, XGBoost, and statsmodels
Design and analyze experiments including A/B tests, statistical hypothesis testing, and causal analysis
Work hands-on with enterprise data platforms such as Microsoft Fabric and Palantir Foundry for notebooks, lakehouses, pipelines, and operational workflows
Communicate findings through visualizations, dashboards, and narratives tailored to diverse audiences
Collaborate with data engineers on data quality and availability, and with ML/AI engineers to deploy models
Monitor deployed models for drift and degradation and manage the retraining and improvement cycle

Benefity

Dedicated AI Grant providing budget and two paid weeks to focus on AI projects
Access to AI Center of Excellence with specialists in agentic, sovereign, generative, and discriminative AI
Full access to AI-powered development tools including Claude, Cursor, and GitHub Copilot
Exposure to diverse projects such as generative AI for legal compliance, agentic manufacturing systems, enterprise AI platforms, computer vision, and autonomous driving
Support for conferences and public speaking including preparation time and bonuses

Budżet konferencyjny

Premie

Inne informacje

Residing in Poland is required for this position.

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