Data Scientist: AI & Enterprise Platform Builder

Sii Poland; Warszawa; On-site; PLN 150,000 - 230,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

Many experts to learn from

Job summary

Sii Poland is seeking data scientists to turn ambiguous business questions into actionable models and analyses. You’ll wrangle data, build and validate models, and explain results to people who don’t code, using the classic Python data stack.

You’ll work on modern enterprise platforms and deploy analytics across Azure, AWS, or GCP, within a real organization’s data ecosystem. You’ll join a collaborative environment with generous AI-focused programs, access to top tools, and opportunities to work

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 — Azure, AWS, GCP, Snowflake, Databricks, or Palantir Foundry.
• Ability to communicate analytical results clearly to business stakeholders and influence decisions with data.
• Familiarity with working autonomously while collaborating effectively with data engineers, architects, and product teams.
• Fluent English, both written and spoken; Fluent Polish; Residing in Poland.

Responsibilities

• Translate business problems into analytical solutions: define hypotheses, choose metrics, and select modeling approaches.
• Explore, clean, and prepare data using Python, working with 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.
• Communicate findings through clear visualizations and dashboards for technical and non-technical stakeholders.
• Collaborate with data engineers and ML/AI engineers to move models from notebook to production.
• Monitor deployed models for drift and degradation, and manage retraining cycles.

Skills

Python (pandas NumPy scikit-learn)

Statistics fundamentals

Cloud data platforms

Data storytelling

Effective collaboration

Tools

Power BI

Spark/PySpark

MLflow

Palantir Foundry

Azure ML / cloud services

Job description

Sii Poland is seeking data scientists to turn ambiguous business questions into actionable models and analyses. You’ll wrangle data, build and validate models, and explain results to people who don’t code, using the classic Python data stack.

You’ll work on modern enterprise platforms and deploy analytics across Azure, AWS, or GCP, within a real organization’s data ecosystem. You’ll join a collaborative environment with generous AI-focused programs, access to top tools, and opportunities to work