When sharing code or scripts with remote data science colleagues, you want to make sure that they can run, reproduce, and modify your work. To use code snippets and comments, use the
tag to format your code blocks, and include comments to explain your logic, assumptions, and results. Also, use consistent and meaningful naming conventions for your variables, functions, and files, and follow the style guidelines of your programming language. Finally, test your code for errors and bugs, and include any dependencies or requirements.
###### Ask for feedback and confirmation
When communicating with remote data science colleagues, you want to make sure that they are on the same page as you, and that they can provide you with constructive feedback and suggestions. To ask for feedback and confirmation, use open-ended questions, such as "What do you think of this approach?" or "How can we improve this model?" Also, use specific and measurable criteria, such as accuracy, performance, or usability, to evaluate your work. Finally, acknowledge and appreciate the feedback you receive, and follow up on any action items or next steps.
###### Be respectful and inclusive
When communicating with remote data science colleagues, you want to make sure that you respect their diversity and inclusion, and that you avoid any misunderstandings or conflicts. To be respectful and inclusive, use inclusive language, such as "they" instead of "he" or "she", or "team" instead of "guys". Also, use positive and supportive language, such as "thank you" or "well done", and avoid negative or sarcastic language, such as "obviously" or "whatever". Finally, be mindful of the cultural and time differences, and adjust your communication style and schedule accordingly.
###### Review and improve
When communicating with remote data science colleagues, you want to make sure that you are constantly improving your communication skills and practices. To review and improve, ask for feedback on your communication style and effectiveness, and identify your strengths and weaknesses. Also, seek opportunities to learn from others, such as mentors, peers, or online resources, and adopt best practices and tips. Finally, monitor and measure your communication outcomes, such as response rates, satisfaction levels, or collaboration quality, and set goals and action plans to improve them.
######Here’s what else to consider
This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?