SGS is the world’s leading inspection, verification, testing and certification company. SGS is recognized as the global benchmark for quality and integrity.
With more than 89,000 employees, SGS operates a network of over 2,400 offices and laboratories around the world.
Our Innovation Factory promotes and develops digital innovation initiatives across SGS; we deliver solutions to the business at scale and speed.
Our mission is to create a better, safer and connected world by supporting, improving or augmenting our physical operations with digital technologies.
Working as part of an innovation team developing cloud-based solutions, you will utilise your Machine Learning, Data and AI skills to deliver insightful knowledge and data that will allow us to design new services.
Partnering with a Product Manager, Developers and Designers, you will contribute to the build and release of new digital services at scale and speed.
Your team will follow a user-centric and agile approach to continuously validate assumptions with the user and client.
More specifically, you will :
Collaborate with your squad and the network of Data Scientists to develop and deliver digital services with a focus on quick execution, affordability and delivery at scale;
Participate in all aspects of agile software development including design, development, implementation, test and deployment;
Architect, model, and assist in the development of services to support internal and external business needs;
Work across the full data stack, building highly scalable models that enable unique and useful insight into the data;
Perform data discovery, preparation, model planning, model building, operation, presentation and visualisation;
Plan for a model by using different statistical formulas and visualization tools;
Distribute datasets for training and testing. Techniques like association, classification, and clustering can be applied to the training data sets;
Deliver the final baselined model with reports, code, and technical documents. Model should be deployed into a real-time production environment after thorough testing;
Communicate key findings to your squad and all relevant stakeholders;
Self-document data processes, conduct peer reviews, and give actionable feedback;
Work with the company validation- and agile development methodologies, adhering to best practices and pursuing continuous improvement;
Actively contribute to the squad rituals such as planning meetings, standups, and retrospects.
Bachelor’s degree in computer science or equivalent experience;
Possess the ability to manage enormous amounts of data to come up with compelling business visions by using various tools, techniques, methodologies, algorithms, etc;
Must have experience using at least one of the following, R, SAS, Python, SQL, Hive, Matlab, Pig, Spark;
Knowledge of various DBMS technology such as MySQL, MongoDB, Oracle, SQLServer;
Experience working in a lean / agile development environment with remote teams utilizing principles of agile development with continuous integration and deployment, test driven development, and pair programming.