Lead Data Scientist, Enterprise AI Solutions – Kraków

Danaher Corporation; Kraków; On-site; PLN 320,000 - 460,000; Full time

Job summary

Danaher, hosted by Cytiva in Kraków, is seeking a data scientist to create reusable Data Science, ML and AI solutions that solve complex business and scientific challenges across operating companies. This on-site role focuses on turning data into predictive capabilities and intelligent decision-support.

You will design experiments, curate high-quality datasets, select modelling approaches, and partner with product owners, architects and engineers to integrate analytics into scalable,

Qualifications

• Strong background in statistics and ML with hands-on delivery of DS/ML solutions.
• Deep understanding of experimental design, hypothesis testing, and forecasting methods.
• Proficiency in Python, SQL, notebooks, and cloud-based analytics platforms.

Responsibilities

• Develop advanced statistical, data science, ML and AI models for business and scientific problems across Danaher operating companies.
• Design experiments, validation frameworks and performance benchmarks to ensure rigor and reliability.
• Curate, transform and analyze enterprise data assets to accelerate ML, optimisation and predictive modelling initiatives.
• Select, develop and refine modelling approaches and lead the lifecycle from experimentation to deployment.
• Collaborate with Product Owners, Architects, AI Scientists and Engineers to integrate analytics into scalable, production-ready solutions.

Skills

Statistics

Machine Learning

Data Analysis

Experimental Design

Communication

Problem Solving

Tools

Python

SQL

Notebooks

Cloud Analytics

ML Frameworks

Job description

Danaher, hosted by Cytiva in Kraków, is seeking a data scientist to create reusable Data Science, ML and AI solutions that solve complex business and scientific challenges across operating companies. This on-site role focuses on turning data into predictive capabilities and intelligent decision-support.

You will design experiments, curate high-quality datasets, select modelling approaches, and partner with product owners, architects and engineers to integrate analytics into scalable,