Statistics and Data Science Specialist

Das ist der Job

Shape the future through scientific breakthroughs and innovation.

Darum lohnt es sich

You’ll make a difference by collaborating closely with food scientists, product developers, process engineers, sensory teams, and project teams. Collaborating across scientific and technical teams to refine hypotheses and integrate data-driven thinking into innovation projects.

Building visualisations and models that make complex findings accessible to diverse stakeholders and project teams.

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 #J-18808-Ljbffr 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.

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. Translating statistical outputs into clear recommendations that guide formulation, process, and product development choices.

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.