Data Scientist (m/w/d)

About Wincasa

Wincasa, the leading Swiss real estate service provider, is significantly shaping the future of the real estate industry. Digital services, agile processes, and a smart working approach characterize us. Become part of our transformation journey and actively shape the future of Wincasa.

As the largest real estate management service provider for demanding residential, office, and commercial spaces, we offer our clients a comprehensive all-round service package.

To complement the existing team in our Winterthur branch, we are looking for a competent and customer-oriented personality as:

Data Scientist (m/w/d)

Winterthur, 80-100%

What You'll Do

• You work along the entire end-to-end process in reporting – from data extraction through transformation and modeling to visualization and provision for the business. Additionally, you lay the foundation for further data science applications.
• You work on the definition of meaningful KPIs for performance management along the entire end-to-end process in tenant management – from initial contact to termination – and ensure data quality.
• You analyze key KPIs such as contact volume, shrinkage, throughput times, efficiency, and other factors along the entire customer journey.
• You extract, process, and refine data (Microsoft Fabric, Python, PySpark, SQL, Azure).
• You design and create semantic models for Power BI reports (Microsoft Fabric).
• You create, maintain, and develop reports and dashboards in Power BI and ServiceNow Platform Analytics, ensuring they generate business value.
• You create the necessary foundations and develop forecast models and further data science applications based on machine learning (Python, Microsoft Fabric).
• You conceptualize and implement simulation models with scenario analyses (what-if analysis) that enable data-driven decision-making processes in tenant management (Python).
• You use and adapt validation frameworks in Microsoft Fabric to specific use cases.
• You support the collection of requirements, change requests, and project proposals for data topics and software (Requirements Engineering).
• You work closely with Data Engineering, IT, operational units, and platform managers to understand end-to-end processes holistically and optimize them based on data.
• You participate in the implementation of technical requirements and further developments, e.g., reports, automations, and interfaces.
• You work closely with colleagues from specialist departments and external suppliers in (partial) projects.
• You take on additional tasks in Data Science & Advanced Analytics for data-driven optimization of tenant management.

Why You'll Succeed

• You have a commercial apprenticeship and higher business administration education (university, university of applied sciences, higher vocational school) or in business informatics, statistics, or data science.
• You have several years of professional experience in data analysis, ideally with insight into service-oriented work environments; knowledge of customer management is an advantage.
• You skillfully apply digital affinity and sound PC and software knowledge daily when working with various systems.
• An efficient and goal-oriented way of working and good communication skills with negotiation skills qualify you for dealing with diverse and demanding target groups.
• A high degree of service and customer orientation is a matter of course for you.
• Good manners, high resilience, flexibility, and perseverance round off your profile.

Our Benefits

• Working Hours: We live mobile working with individual (annual) working time and/or part-time work. Up to 40% home office is possible. Work-life balance is important to us, as balanced and rested employees are important to us. Purchasing additional vacation days is possible.
• Mobility and Meals: You will receive a contribution for the mobile phone. We also contribute to your meals.
• Training and Development: Supporting employees is an important part of our culture. Benefit from generous support for internal and external training and further education. We offer career opportunities in leadership, specialist, and project functions.
• Salary: You can expect market-rate compensation with absolute equal pay for all genders. Pension fund benefits are attractive, and you can choose the model that suits you best. The accident insurance covers the private hospital ward.

More information about our benefits can be found on our career page.