Nestlé Operational Services Worldwide SA
Lab Data Technology Specialist(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Lausanne
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NENestlé Research
Scientific Data Product Manager(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Owning scientific data product lifecycles for agriculture, packaging, and health nutrition. Significant professional experience driving data product lifecycle in scientific context required. Flexible working options, paid holidays beyond legal requirements.
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Anforderungen
- Bachelors, Master’s, or PhD in Bioinformatics, Life sciences, Chemistry, Computer Science, or Engineering
- Significant professional experience driving data product lifecycle in scientific context
- Solid experience with Bioinformatics, Clinical, or Omics research data domains
- Ability to identify needs, translate requirements, and prioritize delivery
- Strong product ownership skills
- Solid understanding of data engineering concepts
- Understanding of modern data ecosystems
- Semantic modeling, ontologies, and knowledge graphs
- FAIR data implementation, metadata management, and lineage tooling
- Experience with reporting tools (e.g., DASH, Streamlit, Power BI) is an advantage
- Leadership experience
- Experience coordinating delivery through multidisciplinary teams and partners
- Ability to navigate complexity, manage ambiguity, and align stakeholders
- Experience in mentoring or guiding junior resources
- Excellent problem-solving, communication, stakeholder management, and knowledge-sharing skills
- Fluent spoken and written English
Aufgaben
- Own the lifecycle of scientific data products
- Identify high-value opportunities for data products
- Translate scientific needs into impactful data products
- Lead cross-functional delivery of data products
- Communicate product roadmap effectively
- Define product vision, requirements, priorities, and success criteria
- Partner with scientific stakeholders to identify needs
- Improve data quality and strengthen metadata
- Make research data more discoverable and reusable using FAIR principles
- Translate scientific needs into scalable data products across pipelines
- Orchestrate internal and external experts for priority delivery
- Champion AI-enabled data products
- Use automation and AI to generate faster, smarter insights
- Own scientific data products long-term
- Balance feasibility and impact for data products
- Guide continuous improvement using adoption, satisfaction, and delivered value
Berufserfahrung
ca. 1 - 4 Jahre
Ausbildung
Bachelor-AbschlussODER
Master-Abschluss
Sprachen
Englisch – fließend
Tools & Technologien
SnowflakeLinuxAirflowDASHStreamlitPower BIRDFSPARQL
Benefits
Flexibles Arbeiten
- Flexible working options
Mehr Urlaubstage
- Paid holidays beyond legal requirements
Weiterbildungsangebote
- Learning and development opportunities
Boni & Prämien
- Performance based bonus
Gesundheits- & Fitnessangebote
- Healthcare contribution
Mentale Gesundheitsförderung
- Employee Assistance Program
Betriebliche Altersvorsorge
- Strong employer contribution to pension plan
Großzügige Elternzeit
- Generous parental leave
Familienfreundlichkeit
- Comprehensive family support solutions
Mitarbeiterrabatte
- Attractive employee discounts
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Nejo hat diesen Job automatisch von der Website des Unternehmens Nestlé Research erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Nestlé ResearchÜber das Unternehmen
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ResearchLausanne
Nestlé Research is a global organization focused on research and innovation to create amazing solutions and make a meaningful impact on the world.
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