We are a team of tech enthusiasts on a mission to bring together the best minds in IT services and analytics. Our goal? To create cutting-edge IT and Analytical Hubs that empower our partners to become truly data-driven organizations.
We are currently looking for a Senior Data Scientist to lead the technical development and deployment of one of our flagship projects. This is a high-impact role ideal for someone with deep technical expertise, a strategic mindset, and a passion for building data science solutions that solve real business problems at scale.
Why join us?
Tackle real-world challenges with advanced analytics and machine learning
Lead impactful projects that influence decision-making across global markets
Flexible remote or hybrid work model (with a modern office in Warsaw)
Join a diverse and experienced international team
No red tape – just real tech challenges, autonomy, and ownership
Enjoy private medical care, Multisport, access to online learning platforms and certifications
Supportive, collaborative, and relaxed work culture
About the Team
Our Global Analytics team is an innovative, diverse group of Data Scientists, ML Engineers, Data Engineers, MLOps Specialists, BI Experts, Software Developers, and UX Designers. Spread across three continents and five countries, we collaborate across functions to build smart data products and enable data-driven decision-making across the organization.
What You’ll Do
Take technical ownership of an end-to-end data science project – from business understanding to deployment
Develop predictive and prescriptive models that support strategic and operational goals
Design, test, and implement scalable data pipelines and modeling workflows (Python, PySpark)
Work closely with stakeholders to identify opportunities for impact through data science
Lead experimentation, model validation, and performance monitoring in production
Contribute to the design of robust and maintainable analytics architecture using Azure cloud services
What We’re Looking For
Technical Skills (Must-Haves)
Hands-on experience with the Azure ecosystem (e.g., Azure Databricks, Azure ML, Azure Data Factory, Azure DevOps)
Advanced Python and PySpark skills, including writing production-level code
Experience with large-scale data processing and analytics
Good understanding of CI/CD pipelines and deployment automation
Strong background in building and deploying machine learning models
Experience
5+ years of data science experience in production environments
2+ years in senior or lead roles with proven project ownership
Strong portfolio of deployed ML models used in production at scale
Soft Skills
Ability to independently lead projects from conception to launch
Excellent communication and collaboration skills across technical and non-technical teams
Adaptability to new tools, processes, and environments
Self-driven learner with a proactive approach to skill development
Ready to take ownership and build data science solutions that drive global decisions? Join us and help shape the future of data-driven transformation.
Please add to your CV the following clause:
"I hereby agree to the processing of my personal data included in my job offer by hubQuest spółka z ograniczoną odpowiedzialnością located in Warsaw for the purpose of the current recruitment process.”
If you want to be considered in the future recruitment processes please add the following statement:
"I also agree to the processing of my personal data for the purpose of future recruitment processes.”
Net per month - B2B
Check similar offers