Senior Data Scientist @ hubQuest
(práce v Polsku)

Senior Data Scientist @ hubQuest

Polsko

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

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.

Ready to take ownership and build data science solutions that drive global decisions? Join us and help shape the future of data-driven transformation.

,[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] Requirements: Data science, Machine learning, Python, Azure, PySpark, Databricks Tools: Agile, Scrum. Additionally: Sport subscription, Private healthcare, Training budget, Small teams, International projects, Free coffee, Bike parking, Free beverages, In-house trainings, In-house hack days, Modern office, No dress code.

Kategorie

data

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