Data Scientist

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

We’re looking for a Senior Data Scientist with strong Python engineering skills to design and develop high-quality, reusable libraries and packages that support machine learning workflows.

You’ll work closely with engineering and data science teams to build robust software, improve testing and CI/CD practices, and help create scalable, maintainable solutions for ML environments.

Key responsibilities

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

Essential skills & experience

• Strong, in-depth knowledge of the Python ecosystem.
• Proven experience building and maintaining Python packages/libraries.
• Strong software engineering practices and ability to write clean, maintainable code.
• Hands‑on experience with software testing, test automation and quality practices.
• Experience designing and implementing CI/CD pipelines.
• Strong understanding of software development lifecycle and engineering best practices.
• Ability to collaborate effectively with data science and engineering teams.

Preferred skills

• Experience with PyTorch or similar machine learning frameworks.
• Understanding of GPU-accelerated workloads.
• Exposure to speech technologies or speech-based machine learning.
• Experience with Docker and Kubernetes.
• Knowledge of observability, monitoring and production reliability practices.
• Experience supporting or deploying machine learning workloads in production environments