Your Remote Projects
Whether you are a technical leader, project manager, data scientist, data practitioner or designer, the way you work together can make or break your team's success. From your first conversation to project completion, it is vital to tackle challenges that arise even when you cannot engage face to face. Explore our process and tips for data science engagements and put these recommendations into practice while working in a remote environment.
The discovery phase is a critical step to ensure the right problem is being solved and the right stakeholders are engaged in the conversation. This is where you begin to understand the project scope and gain a deep understanding of project needs. Below you'll find recommendations on how to combat specific challenges that may arise in this phase while working remotely:
The scoping phase is used to get up and running and determine logistics of the project. This phase is typically executed using tools like WebEx and Slack or even via email. Although this phase does not need to be accomplished in person, one challenge to consider is:
During the kickoff phase, the entire team comes together to assess team skills and begin sprint planning. This usually happens in a highly interactive face-to-face environment, so it's important to address the following challenges with our remote recommendations:
You may be coding, exploring data, project managing or modeling when you come across various communication challenges due to your new working environment. Use this communication strategy as you strive for seamless and effective collaboration:
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Along with an adjusted approach to project lifecycles, data scientists working from home should consider best practices to keep away from burn out, stay on task and communicate effectively.Best Practices