Data Scientist: AI-Driven Insights & Enterprise Platforms

Sii Poland; Piła; On-site; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Great team

Career growth

Flexible benefits

Medical care

Office in Poland

Profit sharing

Job summary

Sii Poland is seeking data scientists who turn ambiguous business questions into models and analyses that actually get used in decision making. You will frame problems, wrangle data, build and validate models, and explain results to non-technical stakeholders using Python and the modern data stack.

You'll work with enterprise data platforms such as Microsoft Fabric and Palantir Foundry, deploying analytics on cloud platforms like Azure, AWS, or GCP.

Qualifications

• 4+ years in data science or applied analytics.
• Strong Python skills with pandas, NumPy and scikit-learn.
• Solid statistics and experimental design knowledge.
• Experience with cloud/data platforms and data science components.
• Ability to communicate results to business stakeholders.

Responsibilities

• Translate business problems into analytical solutions.
• Explore, clean, and prepare data using Python.
• Build, validate, and tune ML models.
• Design and analyze experiments including A/B tests.
• Work with enterprise data platforms and pipelines.
• Communicate findings via visualizations and narratives.
• Collaborate with data engineers and ML engineers.
• Monitor models and manage retraining cycles.

Skills

Python

Pandas

NumPy

Scikit-learn

Data analysis

Communication

Tools

Microsoft Fabric

Palantir Foundry

Azure ML

SageMaker

BigQuery ML

Databricks MLflow

Foundry Code Workspaces

Job description

Sii Poland is seeking data scientists who turn ambiguous business questions into models and analyses that actually get used in decision making. You will frame problems, wrangle data, build and validate models, and explain results to non-technical stakeholders using Python and the modern data stack.

You'll work with enterprise data platforms such as Microsoft Fabric and Palantir Foundry, deploying analytics on cloud platforms like Azure, AWS, or GCP.