Senior Data Scientist - Python ML Libraries & Pipelines

Us3 Consulting; Kraków; On-site; PLN 250,000 - 400,000; Full time

Job summary

Us3 Consulting is seeking a Senior Data Scientist with strong Python engineering skills to design and develop high-quality, reusable libraries that support machine learning workflows. You will collaborate with engineering and data science teams to ensure scalable and maintainable ML environments.

You will build robust testing frameworks, implement CI/CD pipelines, and contribute to production-ready deployments, writing clean, well-documented code and sharing best practices across teams.

Qualifications

• Proficient in Python and the broader Python ecosystem.
• Experience building and maintaining Python packages/libraries.
• Write clean, maintainable code following best software practices.
• Hands-on experience with software testing and QA processes.
• Design and implement CI/CD pipelines for ML/engineering workflows.
• Strong understanding of the software development lifecycle and practices.
• Able to collaborate effectively with data science and engineering teams.

Responsibilities

• Design and develop high-quality, reusable Python libraries and packages.
• Build maintainable software to support ML workflows.
• Develop and maintain robust testing frameworks and automated tests.
• Design, implement and enhance CI/CD pipelines.
• Write clean, scalable, well-documented code for production use.
• Collaborate with data science and engineering teams to deliver ML solutions.
• Contribute to software quality, reliability and engineering best practices.
• Support development and optimization of production-ready ML environments.

Skills

Python ecosystem

Python packages/libraries

Clean, maintainable code

Software testing & QA

CI/CD pipelines

Software development lifecycle

Collaboration with data science & eng.

Tools

Docker

Kubernetes

PyTorch

GPU workloads

Job description

Us3 Consulting is seeking a Senior Data Scientist with strong Python engineering skills to design and develop high-quality, reusable libraries that support machine learning workflows. You will collaborate with engineering and data science teams to ensure scalable and maintainable ML environments.

You will build robust testing frameworks, implement CI/CD pipelines, and contribute to production-ready deployments, writing clean, well-documented code and sharing best practices across teams.