Position Overview

The Senior Data Scientist – Predictive Analytics will apply advanced analytics, data science, and applied AI/ML (spanning classical machine learning, deep learning, and where relevant generative and agentic AI) to generate insights and build production-grade, well-engineered predictive systems that support strategic decision-making across the organization. This role combines deep technical expertise in data science, data engineering, and software engineering with the ability to translate complex business challenges into actionable insights. Working closely with stakeholders across the organization, the Senior Data Scientist helps accelerate dormakaba's transformation into a data- and AI-driven organization.

What you will do

Predictive modeling and advanced analytics development

• Design, develop, and validate statistical, machine learning, and (where warranted) deep learning models (forecasting, classification, optimization) to support strategic and operational decision making, applying sound scientific judgment to select the simplest technique that reliably solves the problem (e.g., KNN or tree-based models vs. neural networks) rather than defaulting to complexity.

Operationalization and deployment of analytics solutions

• Build and deploy predictive models and analytics pipelines into production environments using cloud and enterprise platforms, applying software engineering best practices (version control, automated testing, CI/CD, code review, modular/reusable design) to ensure solutions are maintainable and enterprise-grade.

MLOps, monitoring, and model lifecycle management

• Implement model lifecycle practices including versioning, monitoring, retraining, and performance tracking.

Cross-functional collaboration and requirements translation

• Work closely with BI, Finance, Operations, Commercial, and IT stakeholders to translate business problems into analytical and predictive solutions.

Data governance, documentation, and compliance

• Ensure analytical solutions comply with enterprise data governance, security, and documentation standards.

Continuous improvement and analytics maturity advancement

• Identify opportunities to automate processes, improve model performance, and elevate predictive analytics capabilities across the organization.

Insight communication and decision support

• Work with business partners (Operations, Commercial, Finance, etc.) to communicate analytical results, forecasts, and recommendations through dashboards, visualizations, and clear storytelling tailored to non-technical audiences.

Data engineering and software engineering excellence

• Architect and build scalable, well-tested data pipelines and reusable engineering frameworks — not just one-off models; bring strong software development practices (version control, automated testing, CI/CD, API/service design, containerization) to the data science function and mentor others in this way of working.

What we require

• Master's degree in a quantitative field (PhD preferred) or equivalent practical experience.
• 15+ years of experience across data science, data engineering, analytics, and software development.
• Proven track record delivering scalable AI/ML, predictive analytics, and data-driven solutions in production environments.
• Expertise in machine learning, deep learning, generative AI, and agentic AI.
• Strong proficiency in Python, Azure, and enterprise data platforms; experience with SAP and Salesforce data is preferred.
• Experience building scalable data pipelines, analytics platforms, and forecasting solutions.
• Solid software engineering and MLOps practices, including CI/CD, testing, APIs, microservices, containerization, deployment, and monitoring.
• Experience with Microsoft Fabric and Databricks is an advantage.
• Professional English proficiency.
• Excellent analytical, stakeholder management, communication, and leadership skills, with the ability to translate business challenges into impactful data solutions.
  

What we offer

• Best opportunities in a globally operating company valuing diversity, inclusion, sustainability and mutual trust
• Home office allowance
• 25 days paid annual leave
• Additional health insurance
• 102.26 EUR Food vouchers
• Public transportation card
• Multisport / Coolfit card
• Opportunity for flexibility with a hybrid working model
• Employee Assistance Program (Mental Health, Legal & Financial Counselling)
• Language training opportunity
• Brand new modern office premises in a class A Business building
• Employee referral program
• Fresh fruits in the office
• Training and mentorship programs
• Access to over 15,000 LinkedIn Learning courses to assist in your development

Who we are

We are at the heart of every place that matters. From automatic doors to cloud-based access management – as a leading global provider in the access solutions market for schools, banks, airports, hospitals, hotels, and many more, we enable seamless movement within secure, safe, and sustainable places. With over 160 years of experience and a focus on excellence and innovation, we offer exciting opportunities to grow in an environment where you can make a real impact. At dormakaba, you are encouraged to take initiative, develop your skills, and build your career alongside 16,000 experts worldwide who are setting industry standards every day.

Work in a place where you matter – apply now!