Women in Data Science Puget Sound 2024

As the lone data scientist on a very small team, it can be very difficult to know or implement best practices on code productionalization. Many aspects of MLOps are often controlled by larger data engineering teams that you are your company may not have access to, but there are still tools and practices that we can implement in our day to day work. In this talk, we will explore implementing practices such as version control, continuous integration and continuous deployment (CI/CD), and using development and production environments. This is an opportunity to borrow from the software engineering development cycle and make our data science work more resilient to change or failure.