Data Scientist - Predictive Analytics

The Data Scientist – Predictive Analytics applies advanced analytics, data science, and machine learning techniques to generate actionable insights and support strategic decision-making across the organization. This role partners closely with business stakeholders to identify opportunities, solve complex challenges, and drive data-informed decisions. By translating data into meaningful business value, the Data Scientist contributes to dormakaba’s vision of becoming a truly analytics-driven organization.

What You Will Do

Predictive Modeling and Advanced Analytics Development

• Design, develop, and validate statistical and machine learning models (e.g., forecasting, classification, optimization) to support strategic and operational decision-making.

• Build and deploy predictive models and analytics pipelines into production environments using cloud-based and enterprise platforms.

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

• Partner with stakeholders across Business Intelligence, Finance, Operations, Commercial, and IT functions to translate business challenges into analytical and predictive solutions.

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

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

• Collaborate with business partners across Operations, Commercial, Finance, and other functions to communicate analytical findings, forecasts, and recommendations through dashboards, visualizations, and compelling data storytelling tailored to non-technical audiences.

• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or another quantitative field.
• 2–5+ years of experience in data science, predictive analytics, machine learning, or a related analytical role.
• Strong expertise in statistical forecasting and demand planning methodologies, including hierarchical forecasting models, intermittent demand forecasting, forecast bias and coverage metrics, and other advanced forecasting performance measures beyond MAPE.
• Strong experience working with enterprise data sources, particularly SAP and Salesforce.
• Hands-on experience with Python and cloud-based analytics platforms, including Microsoft Azure and Microsoft Fabric. Experience with Databricks is a plus.
• Solid understanding of machine learning model development, deployment, monitoring, and lifecycle management.
• Strong communication skills with the ability to explain complex analytical concepts and insights to both technical and non-technical stakeholders.
• Fluent English is required.

• 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

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!