Senior Machine Learning Engineer

In this role as senior data scientist/ML engineer on the Global Data and Analytics (GDA) team, you will be working on our new strategic visibility initiative to develop recommendation solutions facing internal and external users. The overall objective is to develop actionable recommendations which enable unprecedented flexibility during supply chain execution and strategic planning, and unlock new types of services for our internal users and our customers. Building on top of a best-in-industry visibility data foundation, you will be partnering with product managers and engineering counterparts to develop scalable solutions following industry best-practices. You will be empowe'red to take ownership of your domain and we expect you to proactively contribute to identifying opportunities and solutions. There is a lot of exciting challenges ahead of us, and the ideal candidate will have a passion for working on industry-transforming products and creating impact from the ground up in a fast-paced environment.

You should have demonstrated ability to make sense out of large, integrated datasets, and build statistical and machine learning (ML) models on top of these data sets. For this role it is crucial to have prior hands-on experience developing prediction/forecasting models and/or recommendation systems, and with putting solutions to production in collaboration with data engineering and software engineering. Furthermore, you must have demonstrated experience in initiating and leading ML projects in a dynamic, international environment. Over time, and when you are ready, we will be looking to you to take on more leadership responsibility.

No prior knowledge of logistics needed; we will help you learn what you'll need to succeed.

 

Key responsibilities

Basic qualifications

Preferred qualifications