Data Scientist — AI & Enterprise Platform Architect

Sii Poland

Bydgoszcz

On-site

PLN 180,000 - 240,000

Full time

5 days ago
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Benefits offered by this job

AI grant program
Centre of Excellence in AI
Conference and speaking support
Medical care
Profit sharing
Office in Poland

Job summary

Sii Poland is seeking data scientists who turn ambiguous business questions into usable models and analyses. You’ll frame problems, wrangle data, and build/validate models using pandas, NumPy, and scikit-learn, communicating insights to non-technical stakeholders.

You’ll work with enterprise data platforms like Microsoft Fabric, Palantir Foundry, and cloud services, delivering real impact on production systems and business decisions.

Qualifications

  • At least 4 years in data science or applied analytics.
  • Strong Python skills across the standard data stack (pandas, NumPy, scikit-learn).
  • Solid statistical foundations: hypothesis testing, regression, experimental design.

Responsibilities

  • Translate business problems into analytical solutions and define hypotheses and metrics.
  • Wrangle and prepare data from structured and semi-structured sources.
  • Build, validate, and tune ML models for classification, regression, forecasting, segmentation, and recommendation.
  • Design and analyze experiments: A/B tests, hypothesis testing, and causal analysis.
  • Collaborate with data engineers on data availability and quality, and with ML/AI engineers to move models to production.
  • Monitor deployed models for drift and retraining needs.

Skills

Python
Statistical analysis
Experiment design
Communication with stakeholders

Tools

pandas
NumPy
scikit-learn

Job description

Sii Poland is seeking data scientists who turn ambiguous business questions into usable models and analyses. You’ll frame problems, wrangle data, and build/validate models using pandas, NumPy, and scikit-learn, communicating insights to non-technical stakeholders.

You’ll work with enterprise data platforms like Microsoft Fabric, Palantir Foundry, and cloud services, delivering real impact on production systems and business decisions.

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