พื้นฐาน

Data Scientist - Intelligence Center

Solothurn, Switzerland บริษัท: TN Switzerland ลูกค้า / นายจ้าง: Ypsomed AG
โพสต์: 18.05.2026
วันปิดรับสมัคร: 02.07.2026
การอ้างอิงงาน: e60645499b1555b8b71d70ed3314ee86

ข้อมูลงาน

ที่ตั้ง
Solothurn, Switzerland
บริษัท
TN Switzerland
ลูกค้า / นายจ้าง
Ypsomed AG
การอ้างอิงงาน
e60645499b1555b8b71d70ed3314ee86
ประเภทรายการ
พื้นฐาน
ต้องมีใบอนุญาตทํางานของสหภาพยุโรป
ไม่
โพสต์
18.05.2026
วันปิดรับสมัคร
02.07.2026

รายละเอียดงาน

At Ypsomed, we are shaping the future of medical technology together - with the aim of sustainably improving the quality of life for people with chronic conditions. We promote an open corporate culture in which diversity is valued, and new perspectives are welcome. Our employees take responsibility, work in an interdisciplinary manner and develop innovative solutions with real added value for society.

We are looking for an experienced Data Scientist with expertise in AI and data engineering to join our Intelligence Center. In this role, you will design, develop, and maintain data-driven solutions that transform raw data into actionable insights, drive innovation, and support data-informed decision-making across the company.

Join us in shaping the future of healthcare by delivering impactful AI and BI solutions that make a real difference.
Data Scientist - Intelligence Center | 80 - 100%
Ref. No. 7907
Location:
Solothurn
| Hybrid
Your main tasks
  • Build and maintain scalable data pipelines to provide high-quality data for AI, BI, and analytics use cases
  • Design, train, and validate machine learning and deep learning models to uncover trends, patterns, and anomalies
  • Collaborate with cross-functional teams to integrate data solutions into workflows, ensuring alignment with business goals
  • Translate business needs into actionable insights through dashboards, visualizations, and presentations while keeping stakeholders aligned
  • Document solutions according to regulatory standards and share knowledge across the organization
  • Monitor, retrain, and maintain models based on feedback and evolving business needs
  • Drive adoption of data-driven processes and support stakeholders with best practices
  • Stay up-to-date with advancements in AI, data engineering, and analytics to enhance solution capabilities
  • Optimize cost and resource usage of AI solutions
  • Track and report business impact of deployed solutions using KPIs
  • Ensure data security, compliance, and ethical standards throughout the data lifecycle
Your profile
  • Master’s degree (PhD preferred) in Data Science, Computer Science, Physics, Mathematics, or a related field
  • 5+ years of experience designing, developing, and deploying AI-based data products end-to-end
  • Strong knowledge of machine learning and deep learning methodology, AI/ML frameworks (e.g., PyTorch, TensorFlow), and data engineering tools
  • Proficient in Python, R, SQL, and other relevant technologies
  • Solid scientific background in mathematics, statistics, probability, and AI
  • Experience with cloud platforms (e.g., Azure) and cloud-based data lakes or warehouses (e.g., Databricks, Dataiku)
  • Experience in regulated industries, ideally healthcare or MedTech, with understanding of compliance and data governance
  • Strong communicator and team player, translating complex technical concepts into business insights while embracing continuous learning
  • Full professional proficiency in German; fluent in English
Hinweis: Für diese Position berücksichtigen wir keine Bewerbungen von Personalvermittlern.
Job openings for professionals - Ypsomed
Your benefits
Pension fund
Ypsomed covers 55% of the pension contributions
Mobility support
Charging stations, Swiss Half Fare Card, parking, close to public transport
Free sport facilities
Affordable or free gyms all over Switzerland
Family friendly
Financial contributions to childcare
Working hours
Shiftwork, annual working hours, part-time
FlexWork
Work where and when you want (in Switzerland)
Up-to-date work environment
Up-to-date production, offices, break areas
Your Ypsomed work environment
Ypsomed - making the treatment of chronic diseases possible
More than 2,000 employees worldwide develop and produce injection and infusion systems for self-medication with the Ypsomed Group. We are a successful, rapidly growing, family-owned company headquartered in Burgdorf (CH) with various production sites and subsidiaries around the world. With our market-leading products and solutions, we enable people all over the globe to self-treatment. Despite chronic diseases such as diabetes, obesity, or certain types of cancer, they are provided with the greatest possible quality of life.
Contact
Heiko Sieger
Workforce Acquisition & Engagement Partner

ทักษะ

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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