Position Title:  Data Scientist - ML Operations & Deployment

MAKE HISTORY WITH US!

At PMI, we’ve chosen to do something incredible. We’re totally transforming our business and building our future on smoke-free products with the power to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and you will have the space to move your career forward in many different areas/directions.

JOIN US!

WHAT IS NEEDED TO SUCCEED IN THIS ROLE?

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field (or equivalent work experience)
• 3+ years of proven experience in Data Science, Machine Learning, Advanced Analytics, or hybrid Data Science/Data Engineering roles particularly with:

-Data preparation, transformation, and feature engineering

-SQL development, optimization, and performance tuning

-Python for data processing, automation, testing, and model integration

-Machine learning model lifecycle concepts and production readiness

• Experience supporting the deployment and operationalization of machine learning models in production environments
• Strong understanding of data pipelines, workflow orchestration, and automated processing frameworks
• Hands-on experience with version control systems (Git, Bitbucket, or similar)
• Knowledge of data engineering principles, data modeling, and scalable pipeline design
• Familiarity with cloud-based data platforms and modern analytics ecosystems
• Understanding of software quality practices, including testing, validation, and code review processes

Preferred Technical Stack

• SQL (advanced)
• Python (Pandas, NumPy, Scikit-learn, PyTest)
• Git / Bitbucket
• Apache Airflow, Digdag, or similar orchestration tools
• Jupyter Notebooks
• CI/CD concepts and deployment pipelines
• Feature stores and shared data frameworks
• Docker (nice to have)

Soft Skills

• Strong ownership and accountability for delivery quality
• Strong analytical and problem-solving capabilities
• Ability to balance technical implementation with business needs
• Excellent communication skills with technical and non-technical audiences
• Strong stakeholder management and cross-functional collaboration skills
• High attention to detail
• Ability to manage multiple priorities and deadlines in a dynamic environment

WHAT WE OFFER YOU?

• In this position you will earn no less than 14 000 PLN gross monthly
• Private medical and dental care, life insurance
• Hybrid model of work and flexible working arrangements (40% of office work and 60% of home office / month)
• Employee pension plan
• Subsidized meals, Multisport & Cafeteria program
• Wide range of training, language learning platform, further education and professional qualification support possibility
• Free bike and car park for all employees

HOW CAN YOU MAKE HISTORY WITH US?

• Design, develop, and maintain high-quality datasets, feature tables, and reusable data assets to support machine learning solutions
• Build and optimize SQL and Python-based data pipelines to ensure reliable, scalable, and production-ready data preparation processes
• Partner with data scientists, data engineers, and business stakeholders to bring machine learning solutions into production
• Support the integration, deployment, and release of machine learning models into production environments
• Ensure model reliability, reproducibility, and compliance with architectural and development standards
• Develop and maintain testing frameworks covering data quality, pipeline integrity, code quality, and model outputs
• Monitor, troubleshoot, and improve the performance of data pipelines and model execution workflows
• Implement workflow automation and orchestration solutions to enhance operational efficiency and process reliability
• Conduct code reviews and promote best practices for maintainable, scalable, and efficient development
• Support deployment and release cycles by validating models and ensuring readiness for production use
• Track dependencies, coordinate deliverables, and proactively resolve risks impacting project timelines
• Collaborate with cross-functional teams to integrate machine learning and analytics solutions into business processes
• Contribute to the continuous improvement of analytics platforms, deployment practices, and machine learning operations
• Lead small initiatives or play a key role in larger Analytics, Data Science, and AI programs

Please note that only on-line applications in English will be taken into consideration.

At PMI we run the business in line with ethical principles and encourage SpeakUp culture. We care for equal chances and fair treatment. If you find anything that violates these principles in this job offer or the recruitment process, you may contact our Ethics and Compliance Team at PMIEthicsandCompliance@pmi.com. Read more about Ethics&Compliance at PMI – here.