**6.1 Team collaboration**

Data science initiatives tend to be done as independent efforts or one-off projects. Data scientists often work as the project manager, data wrangler, software developer, data engineer, tester, and do the data science as well. Data scientists cannot be effective assuming all these roles. With data wrangling (cleansing, transformation, formatting, etc.) taking up more than half the project, the data engineer has emerged as a key role in supporting the data science process. Assign a data engineer to handle the data wrangling, and let the data scientist focus on data science. Additionally, data science initiatives are projects. Ensure the data science initiative has a lead who can remove barriers, deal with stakeholders and get the required subject matter experts to support the data science project. Collaboration is key in making progress and valuable data science results [10, 14].
