Enterprise Data Scientist: AI, Analytics & Platforms

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

Benefits offered by this job

Great Place to Work

Solid financial situation

Contracts with the biggest brands

Centre of internal trainings

Many experts you can learn from

Open and accessible management team

Profit sharing

Passion Sponsorship program

Regular integration events and trips

Comfortable and well-equipped offices

MySii app

Medical care

Job summary

Sii Poland is seeking data scientists who turn ambiguous business questions into models and analyses that are used in real operations. You’ll translate problems, wrangle data with Python, and build and validate models using pandas, NumPy, and scikit-learn.

You’ll work with modern enterprise data platforms such as Microsoft Fabric and Palantir Foundry, and cloud tools on Azure, AWS, or GCP to deploy analytics.

Qualifications

• At least 4 years in data science or applied analytics, with models and analyses that made it past the prototype stage.
• Strong Python skills across the standard data stack (pandas, NumPy, scikit-learn).
• Solid statistical foundations: hypothesis testing, regression, experimental design, and knowing when a result is real versus noise.
• Knowledge of at least one cloud/data platform and its data science components.

Responsibilities

• 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 and Palantir Foundry (pipelines, ontology, operational workflows).
• Communicate findings through clear visualizations, dashboards, and narratives tailored to stakeholders.
• Collaborate with data engineers on data availability and quality, and with ML/AI engineers to move models from notebook to production.
• Monitor deployed models for drift and degradation, and own the retraining and improvement cycle.

Skills

Python

Pandas

NumPy

scikit-learn

Tools

Azure

AWS

GCP

Snowflake

Databricks

Palantir Foundry

Job description

Sii Poland is seeking data scientists who turn ambiguous business questions into models and analyses that are used in real operations. You’ll translate problems, wrangle data with Python, and build and validate models using pandas, NumPy, and scikit-learn.

You’ll work with modern enterprise data platforms such as Microsoft Fabric and Palantir Foundry, and cloud tools on Azure, AWS, or GCP to deploy analytics.