1.Work with other stakeholders to gain new insights from data by employing statistical and/or machine learning models.
2.Employ fast experimentation, iterations, and exploratory data analysis to reduce time to market.
3.Work with data-infrastructure engineers to build up top-notch data infrastructure and tools.
4.Proactively address problems with a research-thinking mindset and critically think about the pros and cons of different approaches.
5.Independently read relevant literature and share your insights and knowledge with other stakeholders.
6.Write clean, maintainable, and well-commented source code.