5 beste Stellen als python in prilly vd – aktuell auf Personalsuche

Statistics and Data Science Specialist
Nestlé —Lausanne, VD
- 100%
- Doktorat
- Englisch
- Master
- Bezahlte Feiertage
- Eltern-/Erziehungsurlaub
1 Tag
Investment Portfolio Analyst
Banque Cantonale Vaudoise —Lausanne, VD
- Microsoft Excel
- Englisch
- Python
5 Tage
2 PhD Positions in Earthquake Engineering / Structural Engineering (ENAC/EESD)
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Englisch
- Forschungserfahrung
1 Tag
Systems Biology and Microbiome Data Science Intern
Nestlé —Lausanne, VD
- Englisch
- Praktikum
- Python
- Mitarbeiterrabatt
3 Std.
Laboratory Manager
emploi.epfl.ch —Lausanne, VD
- Teilzeit
- Management-Erfahrung
- Doktorat
- Englisch
8 Std.

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Contract type / duration: 12 month Limited Contract. Collaborating across scientific and technical teams to refine hypotheses and integrate data-driven thinking…
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Statistics and Data Science Specialist

Nestlé -
Lausanne, VD

Jetzt bewerben

Details zur Stelle

100%
vor 1 Tag

Leistungen

Bezahlte Feiertage
Eltern-/Erziehungsurlaub
Mitarbeiterrabatt
Unterkunft
Pensionskasse

Qualifikationen

Doktorat
R
Englisch
Master
Datensammlung
Python

Vollständige Stellenbeschreibung

Location: Lausanne, Switzerland
Work model: Hybrid / Full time 100%
Contract type / duration: 12 month Limited Contract

Shape the future through scientific breakthroughs and innovation.

As a Statistics and Data Science Specialist at Nestlé Research, your mission is to apply advanced statistics and data science to accelerate scientific discovery and innovation across our product portfolio. You’ll make a difference by collaborating closely with food scientists, product developers, process engineers, sensory teams, and project teams. This is your opportunity to turn ideas into sustainable and innovative solutions for people, pets, and the planet.

How you’ll make an impact as a Statistics and Data Science Specialist

Designing robust lab and pilot experiments that generate reliable evidence and accelerate scientific progress.
Analysing complex experimental data to uncover actionable insights, quantify uncertainty, and strengthen decision-making.
Collaborating across scientific and technical teams to refine hypotheses and integrate data-driven thinking into innovation projects.
Translating statistical outputs into clear recommendations that guide formulation, process, and product development choices.
Building visualisations and models that make complex findings accessible to diverse stakeholders and project teams.
Driving innovation by applying advanced analytics to support better products, smarter decisions, and faster learning cycles.

What will make you successful

Bringing a Ph.D. or Master’s degree in Statistics, Applied Mathematics, or Data Science.
Applying hands-on experience in mathematics-based data collection methodologies to generate robust experimental data.
Using hands-on expertise in statistical inference, statistical modelling techniques, optimization algorithms, and machine learning techniques to solve scientific challenges.
Bringing proficiency in Python programming, with knowledge of R as a plus, and proven experience in data-driven modelling for product design, particularly in food or related consumer products, as a plus.
Communicating fluently in English.
Bringing collaboration, fresh thinking, bold questions, respect, and a positive, wellbeing-oriented mindset.

At Nestlé Research, we place people at the core of everything we do.

Our benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:

Flexible working options, including hybrid work possibilities (for office based roles)
Paid holidays beyond legal requirements
Learning and development opportunities to grow your career
Performance based bonus
Healthcare contribution and access to the Employee Assistance Program
Strong employer contribution to your pension plan
Generous parental leave and comprehensive family support solutions
Attractive employee discounts across various products and services

What to expect from our hiring process

We are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodations if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.

The hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.

Ready to #BreakthroughTogether?

Apply now and shape the future through scientific breakthroughs and innovation.

Jetzt bewerben

Erweiterte Suche

python Jobs in prilly vd

Statistics and Data Science Specialist

Investment Portfolio Analyst

2 PhD Positions in Earthquake Engineering / Structural Engineering (ENAC/EESD)

Systems Biology and Microbiome Data Science Intern

Laboratory Manager

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