Manager, Applied Science, Operations Risk
il y a 2 semaines
Master's Degree in computer science, machine learning, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree
- Strong mathematical and scientific fundamentals.
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- Fluency in at least one programming language such as Java, C++ or Python
- 2+ years experience in people management
- Communication skills
The team automates the manual classification process through technical solutions that rely heavily on machine learning models. We partner closely with business, operations and tech teams worldwide to deliver complex, ambitious roadmaps with the customer's goal in mind. We leverage off the sciences of data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency. Our work expands AI-driven capabilities of our Retail businesses.
We are seeking a successful Applied Science Manager to lead our efforts in automating the classification of our entire worldwide selection within regulatory classes. The Applied Science Manager will work with stakeholders from multiple business units to gather requirements and will own our BIE, TPM, Applied Science and Research Science functions to research, develop and deploy the next generation of classification models.
The Applied Science manager will lead a 2-pizzas team comprising Applied Scientists, Machine Learning Engineer, and will be the single threaded owner of of high impact Machine Learning solutions that we are building. It is a green field as those solutions still need to be built. The business problems at hand present exciting scientific and enginerring challenges, ranging from driving the right research to working under constraint of high throughput inferences. If done well, the work the impact of the work will be counted in hundreds of millions of dollars.
Key job responsibilities
- Lead an ML product team comprising of Scientists and Engineers
- Act as a coach and grow the team members
- Deliver the research, development and deployment of ML models into production system to automatically classify Amazon's selection within the different regulatory classes.
- Research and publish new state-of-the-art solutions to improve the efficiency of our manual classification and compliance processes.
Luxembourg, LUX
- PhD in related field
- Track record of leading team to deliver several successful products that leverage machine learning to drive value.
- Track record of fostering a positive, inclusive and motivating culture within a team
- Track record of publication in scientific journals
- Knowledge in project management and work methodologies including agile methodologies (e.g. scrum, kanban)
- Good business acumen
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