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At Sunrise, we think bigger, go further and create new ideas. For us working culture means achieving great things together. It’s where respect and innovative ideas combine with real teamwork – every voice counts, every perspective makes us stronger. Our passion spurs us on to try new things and grow continuously. Sound like you? Then join our success story.
As a Data Scientist at Sunrise DCOE, you’ll deliver end-to-end, production-grade AI/ML solutions that create measurable business value. You combine a reliable, “own the outcome” mindset with strong technical skills and a bias for shipping. Beyond building models, you help shape new ways of working - raising the bar for quality, collaboration, and speed across the organization.
YOUR CHALLENGE:
Sunrise has partnered with «Advance – Gender Equality in Business». We’ve also been awarded the Swiss LGBTI label and «Fair-ON-Pay Advanced» certification as recognition for offering all our employees equal pay for work of equal value.
Ready to rise to the challenge? Then join the team and actively shape our future!
#ChallengersWanted
Information for agencies: Application dossiers sent or uploaded by placement agencies or similar are not desired, will therefore not be considered and will be deleted.
As a Data Scientist at Sunrise DCOE, you’ll deliver end-to-end, production-grade AI/ML solutions that create measurable business value. You combine a reliable, “own the outcome” mindset with strong technical skills and a bias for shipping. Beyond building models, you help shape new ways of working - raising the bar for quality, collaboration, and speed across the organization.
YOUR CHALLENGE:
- Deliver end-to-end AI/ML solutions in GCP - from problem definition through deployment, monitoring, and iteration - to create measurable business value
- Partner with senior leaders to pick the highest-impact use cases, define success metrics, and report progress, risks, and results
- Build reliable data and model pipelines using BigQuery and Vertex AI, covering batch and real-time workloads with strong performance and security
- Automate testing, deployment, tracking, and monitoring to keep models stable in production and enable fast, safe rollouts
- Design and ship GenAI features and tool-using agentic workflows with clear guardrails and evaluation
- Create reusable code, templates, and playbooks that speed up future deliveries and raise quality across teams
- Mentor teammates, share best practices, and promote a collaborative, outcome-focused culture
- Degree in Computer Science, Statistics, Mathematics, or similar, plus 2+ years delivering production AI/ML solutions end to end
- Hands-on experience with GCP for data and ML: BigQuery, Vertex AI, Dataflow/Beam, Cloud Run/Functions, CI/CD
- Strong Python and SQL; write testable, efficient code; build robust data and model pipelines with monitoring and retraining
- Solid ML foundations: problem framing, feature engineering, experimentation, offline/online evaluation, and responsible deployment
- Practical GenAI and agentic AI experience: LLMs, RAG, tool use, evaluation, and safety guardrails
- Reliable, ownership mindset; clear communication with non-technical stakeholders; mentoring and teamwork
- Language skills: fluent English; German is a plus
Sunrise has partnered with «Advance – Gender Equality in Business». We’ve also been awarded the Swiss LGBTI label and «Fair-ON-Pay Advanced» certification as recognition for offering all our employees equal pay for work of equal value.
Ready to rise to the challenge? Then join the team and actively shape our future!
#ChallengersWanted
Information for agencies: Application dossiers sent or uploaded by placement agencies or similar are not desired, will therefore not be considered and will be deleted.
Key Skills
Ranked by relevance
ai
gcp
python
cloud
sql
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- Posted
- Oct 15, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Opfikon
- Company
- Sunrise
Industries
Telecommunications
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Senior Data & Machine Learning Engineer (all genders)
2026-05-21
Full-time
Not Applicable
Austria
IT Services
Engineering
View Job Details
Related
DevOps/MLOps Engineer (ML / LLM Infrastructure)
2026-05-17
Full-time
Not Applicable
Ukraine
Telecommunications
Engineering
View Job Details
Related
Backend Engineer
2026-05-27
Full-time
Not Applicable
Switzerland
Technology
Engineering