Data Scientist (m/f/d)
Sonova AG · Staefa, Zürich, Switzerland
Skills in this posting
The posting
**More about the role**
Join our R&D organization and help build a deep understanding of how our products are used in the real world. This role sits in a technical team and focuses on translating complex product and user data into clear, decision-shaping insights for functional owners, senior leadership and product marketing.
**In this role, you will:**
* Lead the analysis of product usage data to uncover meaningful patterns, behaviors, and segmentations
* Build a deep understanding of our datasets and apply statistical methods to generate robust, decision-relevant insights
* Translate complex technical findings into clear recommendations that support R&D decisions, product direction, and business priorities
* Communicate usage insights in a simple, credible, and actionable way to technical teams, senior leaders, and product marketing stakeholders
* Create practical analyses and dashboards that make product usage visible and easier to act on
* Partner closely with R&D teams, engineering, product management, senior leaders, and product marketing to frame the right questions and connect data to decisions
* Stay current on relevant developments in analytics, statistics, and AI, and apply them where they improve insight quality and business value
**More about you**
* Master-s degree or PhD in Psychology, Behavioral Science, Health Science, Audiology, or a related field
* Several years of experience in data science, product analytics, user insights, or a similar role
* Strong expertise in statistics, segmentation, behavioral analysis, and extracting insight from complex real-world datasets
* Strong hands-on skills in Python and dashboarding, with the ability to move between strategic insight generation and practical delivery
* Proven ability to translate deep technical analysis into clear recommendations for both technical and non-technical stakeholders
* Experience working with complex datasets and turning them into clear recommendations for non-technical stakeholders
* Confidence working with R&D and engineering stakeholders while also communicating clearly with senior leaders and product marketing
* Experience in MedTech, healthcare, or another scientific or regulated environment is a plus
* Clear, structured communication and a strong instinct for connecting data to product and business decisions
* Fluent in English
**More about what we offer**
As one of the world-s leading hearing care providers headquartered in Switzerland, we-re committed to building an inclusive culture. We want to create an environment where you can balance a successful career with your commitments and interests outside of work, through our flexible hybrid working model.
We offer a wide range of training opportunities for both your professional and personal development, and there are exceptional growth opportunities with individual development plans.
The PivotHop read
- What a data scientist actually earnsmedian, seniority, by country
- Careers a data scientist can move intoevery measured route out
- Machine Learning Engineer → Data Scientist70% readiness
- All open data scientist rolesthe full board
Where these skills also reach
- 530 open data analyst roles60% readiness from data scientist
- 82 open product analyst roles56% readiness from data scientist
- 578 open research scientist roles55% readiness from data scientist
- 294 open machine learning engineer roles53% readiness from data scientist
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