Do you want to make big impact, work for over 10 international brands within Ahold Delhaize (e.g. Albert Heijn, Bol.com. Delhaize, Stop & Shop and Food Lion) and work within our newly formed European Data Science & Analytics team? Then we are looking for you.
As Senior Machine Learning Engineer at Ahold Delhaize, you are our expert within this domain. You will work closely together with our data science and analytics teams from our brands (Albert Heijn, Delhaize, Etos etc.) and the regional US team. We seek mutual opportunities, work together on implementing state-of-the-art data solutions and help them taking data science and analytics to a higher level. You are an expert in identifying, implementing and improving data solutions driving sustainable value for our customers and businesses. You participate in the cross functional scrum teams with the lead brands and you have a strong vision on data solutions. As Senior Machine Learning Engineer you will create impact at scale, as we want to scale and leverage these solutions across the brands.
In this role you are a thoughtleader on Data engineering and Data Quality. You ensure agreed timelines are being delivered and you will develop governs and develops policy. You will join the scrum team to accelerate the development and productionizing of algorithms and make sure they are scalable and portable to other teams. You ensure code is modularized, reusable, tested, and properly versioned. Therefore you are responsible for overall quality of ML pipeline and production models.
In order to do this right, you liase between the ML teams and share learnings and code between brands. As you are the ML expert you keep abreast of developments in the field and promote relevant learnings within our organization. This way you will improve numerous processes and the experiences of millions of customers every single day.
As a Senior Machine Learning Engineer at Ahold Delhaize will:
Your new office
As our Senior Machine Learning Engineer you will work at and across Ahold Delhaize where approximately 370,000 employees worldwide serve over 50 million customers a week. Locally, you’ll be working with 1,500 colleagues in Zaandam, the Netherlands. We improve and innovate every day, supporting our trusted local brands and reinforcing our role as a leader in retail and e-commerce.
Everything you do with your colleagues is directly visible in our internal departments. You will be joining the newly formed Data Science & Analytics team. In this team we deliver scalable data products and building bridges between the different data science & analytics teams from our brands. Themes we are working on are relevance, personalization, forecasting, eCommerce and self-service analytics
Covid-19
Our main priority continues to be the health and safety of our employees and customers. Due to the Covid-19 pandemic, this position will be remote until further notice. We will continue monitor the circumstances and when we feel comfortable, this position will return to our Headquarters in Zaandam, where you will have the opportunity to collaborate face-to-face with a talented and diverse group of colleagues. This also means that all job interviews for this position will take place via video calls.
At Ahold Delhaize we want to grow. That is only possible if you grow with us. That is why you get access to best in class guidance and inspiring training, to shape your own development and career. As we work together to build on our brand as well as your career, you can count on (based on 40 hours per week):
At Ahold Delhaize you’ll be working for one of the biggest retailers in the world. You are bursting with ambition to keep up with us. You supplement this ambition with:?
Apply now
Do you want to play an active role in changing the food retail landscape as we know it? Then hop in and join us on our expedition. Apply now via the button on this page. In addition, we would like to ask you not to send a standard motivation letter, but to formulate an answer to the following questions:
Want to learn more first, before you apply? Maureen Ensink, Talent Acquisition Partner Data Science & Analytics is happy to tell you everything about this vacancy via maureen.ensink@aholddelhaize.com