Transmedics - San Diego, CA
posted 2 months ago
As a Mid-level Data Science Engineer at Trabus Technologies, you will play a crucial role in supporting the maintenance planning and forecasting models that are essential for our operations. Your work will involve the development and maintenance of datasets that are critical for our data-driven decision-making processes. You will be responsible for writing parsers and ingestors to efficiently ingest data from various disparate sources and formats into our databases using Python. This role requires a strong understanding of data management and the ability to ensure data quality through effective curation practices. In addition to data ingestion, you will develop API calls to extract maintenance data from our databases, enabling seamless access to the information needed for analysis. Your analytical skills will be put to the test as you analyze historical maintenance data to identify trends and insights, which you will then visualize to communicate your findings effectively. You will also be tasked with generating training and test datasets for AI and machine learning workflows, contributing to the development of advanced analytical models. A significant aspect of your role will involve the development of web-based products that utilize AI and machine learning algorithms. You will be responsible for deploying these products into government-hosted computing infrastructures, which may include containerizing your code for deployment and applying continuous integration and continuous deployment (CI/CD) practices. This position offers an exciting opportunity to work at the intersection of data science and technology, contributing to innovative solutions that address real-world challenges in the government and military sectors.