Modelling Statistics Specialist

1 week geleden


Utrecht, Nederland JACOBS DOUWE EGBERTS Voltijd

Company Description

Who we are?

JDE Peet’s is the world's leading pure-play coffee and tea company, with local roots dating back to 1753, and is headquartered in the Netherlands. We unleash the possibilities of coffee and tea in more than 100 countries with a portfolio of over 50 brands, including L’OR, Peet’s, Jacobs, Senseo, Tassimo, Douwe Egberts, OldTown, Super, Pickwick and Moccona.

What’s it like to work at JDE Peet’s?

The future of work is hybrid, with both office and home playing an important role. At JDE Peet's, we value meeting colleagues in the office to unleash the possibilities of coffee and tea together and we enjoy our focus time when working from home. Join us and you will experience both. Because it’s amazing what happens over a cup of coffee.

What we offer:

This role allows you to learn the ins and outs of the world of coffee, innovation, and research and development. You are directly involved in determining the experiment designs for the changes that drive our business, in terms of sustainability, new product launces and existing product updates. Among others, you will get the following opportunities:

The ability to work with a wide range of statistical techniques, and the possibility to develop some on your own; Work in an extremely innovative environment where you will be closely working on product development and the launch of new initiatives; Become a coffee (and tea) expert, understand the full journey from bean to cup; The ability to be involved in training different colleagues on statistical methods, analyses, to work on transferring knowledge and coaching skills; Learning to integrate statistical thinking with product/chemical/logistical constraints.

Whether or not you are with us, two, four or thirty years, it doesn’t matter. We help you build your skillsets and potential career. We offer a solid and competitive base salary and ad additional benefits to the mix. To name a few:

Learning and development budget, Career development, Health Insurance discount Pension plan A minimum of 25 + 12 ADV days of paid holidays (because we care and want to offer you a healthy work – life balance)

#unleashyourpossibility #acupofamazing #LI-Hybrid

Job Description

Join our Modelling & Statistics team within the Research & Development department, a hub where diverse minds converge to innovate and excel. As a Modelling & Statistics Specialist, you will be pivotal in steering the business towards a data-driven decision-making environment. Your role involves designing impactful experiments that influence our portfolio, analyzing and modeling data to unleash the unlimited possibilities in the coffee and tea industry. You will champion a culture of rigorous scientific inquiry and statistical rigor, ensuring these principles resonate across the company.

Maximize your impact within our value chain by embracing these roles:

Design experiments to unravel current business challenges; Perform modeling and data analysis , ensuring clear interpretation and reporting; Communicate effectively with various R&D stakeholders, maintaining a business-friendly language; Champion statistical excellence , fostering best practices and knowledge sharing; Identify and advocate for innovative and automated solutions in R&D, streamlining processes and integrating external insights.

Qualifications

We are looking for a team player with strong statistical background, who is able to communicate on complex projects in understandable ways for the business. Our ideal candidate is not necessarily a statistician by education but someone that is eager to keep learning and has strong problem solving skills.

Rather than listing "must-haves," we prefer to look at the complete picture of what you bring to the table. For sure, we value your experience with statistics and food science, but we're more interested in your overall capabilities. To help you out, here's what we think would be great to have:

A Master's degree in Statistics, Data Analytics, or Food Sciences with a strong statistical foundation; 2 to 4 years of hands-on statistics in the consumer goods sector; Skills in making data understandable through visualization, modeling, and analysis, including regression, multivariate techniques, designing experiments, and controlling statistical processes; Experience of programming in languages like R, SAS, or JMP; A self-starter attitude for learning and the confidence to ask for help when it's needed; The ability to make things clear and share findings with your team and other stakeholders in a straightforward way.

Additional Information



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