How to Standardize Data Science Ways of Working to Unlock Your Team's Creativity
Alternatively titled: Making data science teams fly
Hello fellow datanistas!
Have you ever wondered how to make your data science team operate at the speed of thought? In this blog post, I share insights from my talk at BioIT World, where I discussed how we’ve enabled this.
In the post, starting with the mission of our data science team, I explain how we focus on standardizing workflows to enhance creativity and efficiency. I cover three key aspects: designing delivery models, making best practices the path of least resistance, and implementing standards effectively. I also share our strategies for balancing standardization with innovation, and how AI-assisted coding plays a role in our productivity. These insights are drawn from my experience leading a data science team at Moderna, where we've built a culture that empowers scientists to do their best work.
The ultimate goal isn't just about standardization; it's about creating an environment where data scientists can thrive and innovate. By sharing our journey, I hope to inspire you to implement similar practices in your own teams.
Please check out the full post here. If you find it valuable, please share it with others who might benefit from these insights.
Happy Coding!
Eric