Senior Data Scientist

About this opportunity!
Supply Chains rely on visibility and transparency to manage effectively processes and changing customers’ demands. Though, the “changing” aspect of this process, requires us to constantly evaluate multiple scenarios and simulate different alternatives needed to make effective decisions. Here is where we want to apply technology, in terms of Artificial Intelligence and Machine Learning models, to optimize our costs, improve our processes and automate our decisions. We have around 25 use-cases now and a results-oriented agenda to onboard phenomenal talent to complete our plans.


Developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics.


Providing thought leadership, perform Advanced Statistical Analytics, and build insights into data to deliver to the business useful insights, identify trends, and measure performance which address business problems.


Collaborating with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable.


What you will do!
Chose relevant data science approach
Design and perform data science experiments
Develop data science Infrastructure and tools
Convert data into meaningful insights



You will bring
A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related fields
Deep/broad knowledge of machine learning, statistics, optimization, or related field
A genuine curiosity about new and applied technologies and software engineering coupled with a high degree of business understanding
Any applied research contributions to the community in terms of technical papers and patents, are encouraged
Experience with Agile, Scrum and Design Thinking methodologies
Previous experience in the Logistics, Manufacturing and Supply Chain are highly beneficial to succeed in this role
Change and improvement leadership skills
Demonstrated skills in Machine Learning, e.g., linear/logistics regression discriminant analysis, bagging, random forest, Bayesian model, SVM, neural networks, etc.
Programming skills in various languages (Python, C++, Scala, Java, R)
Skills in the use of current innovative machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow, and Spark
Worked in Cloud Native Technology



Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.


What happens once you apply?
Visit this link: https://www.ericsson.com/en/careers/hiring-process to find all you need to know about what our typical hiring process looks like.

Location for this role: Global
Hiring Manager: Head of AI & Analytics, BNEW GSU AI & Analytics
Recruiter: Asmita Kumari (asmita.a.kumari@ericsson.com)


Kindly note that we cannot process applications sent via email.


Please send in your application as soon as possible in english, since the process is ongoing!