Senior Data Scientist - AI & Enterprise Analytics

Sii Poland; Kraków; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Training programs

Medical care

Office in Kraków

Job summary

Sii Poland is seeking data scientists who turn ambiguous business questions into models and analyses that get used. You’ll frame the problem, wrangle the data, build and validate models, and 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

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.
• Knowledge of at least one cloud/data platform and its data science components (Azure, AWS, GCP, Snowflake, Databricks, Palantir).
• Fluent English and Polish; residing in Poland.

Responsibilities

• Frame business problems as analytical solutions; define hypotheses and metrics.
• Explore, clean, and prepare data using Python and the data stack.
• Build, validate, and tune ML models (classification, regression, forecasting, recommender systems).
• Design experiments: A/B tests, hypothesis testing, causal analysis.
• Collaborate with data engineers and ML engineers to move models to production.

Skills

Python

Pandas

NumPy

scikit-learn

Tools

Azure ML

SageMaker

Vertex AI

Palantir Foundry

Microsoft Fabric

BigQuery ML

Job description

Sii Poland is seeking data scientists who turn ambiguous business questions into models and analyses that get used. You’ll frame the problem, wrangle the data, build and validate models, and 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