At Shire, we are proud and grateful to employ military veterans and thank them for their contributions to our company and our country. See where your military experience can play a role at Shire by using our military skills translator job search tool below:
This is a job for a Senior Machine Learning Scientist position with the company located in the Jackson, MS area.
Job Summary:
We are looking for a top-notch machine learning scientist/data scientist to join the machine learning science team of the copilot and personalization org. Our team is tasked with producing performant machine learning models and copilot systems to enhance and personalize the shopper experience through search, product recommendations, content personalization, promotion selection, and much more. In addition, we augment and automate the work of the merchandiser and admins to enable them to react faster and better to changing markets, trends, and customer demands. You will be responsible for turning business needs into machine learning solutions that we can deploy to production in collaboration with our engineering teams. To achieve this, you will research, design, prototype, and build machine learning systems, with large-scale training and offline/online tuning and experimentation.
Responsibilities:
Work with product management and leadership to translate business problems into data science problems. Research, prototype, and build demonstrations of machine learning ideas for quick validation and feedback. Design and build machine learning systems to hit accuracy and performance metric targets. Productize machine learning systems in collaboration with engineering teams. Design and conduct experiments to ensure optimal performance of machine learning systems. Educate engineering and product teams about data science during collaboration. Mentor and collaborate with other members of the data science team. Share technical innovations with the team and across the company. Create innovations and contribute to conferences and/or open-source tools.
Qualifications: Fluent in prototyping/building machine learning models and algorithms and wrangling large datasets. Ph.D. in a quantitative discipline with 3+ years of relevant experience or a BS/MS in a quantitative discipline with 6 - 10 years of relevant experience. Expertise in classical machine learning, deep learning, and
large-language-models (LLMs). Proficient in using Python scientific stack (e.g. Numpy, Pandas, PyTorch, SciPy, Jupyter). Proficient in shell scripting, Unix/Linux command-line tools, working with cloud infrastructure (AWS). Great communication skills: ability to discuss with scientists, engineers, designers, and product managers.
Equal Opportunity Employer -- minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity.