The success of data science projects often depends on being able to get stakeholders, from a variety of backgrounds, to work well together. But what if the stakeholders involved come from very different backgrounds and struggle to understand each other – as can be the case with data scientists and engineers? In this episode, Dr Genevieve Hayes is joined by software engineer turned data scientist Hendrik Dreyer, who has carved a niche for himself by acting as a intermediary between Team Data Science and Team Engineering.
Hendrik Dreyer is both a qualified data scientist and a qualified engineer. He worked extensively in a range of senior software engineering roles, in both South Africa and Australia, prior to making the transition into data science. He is now the Manager of Analytics Capability at Australia’s largest superannuation fund, AustralianSuper.
- The different mindsets commonly held by data scientists, data engineers and the business in general, when it comes to data science and analytics.
- How these diverse mindsets can give rise to challenges, when it comes to delivering data science solutions, and the potential consequences if these challenges aren’t adequately addressed.
- Approaches to bridging the chasm between data science, data engineering and the business.
- Actions each of these different groups of people can take in order to help bridge the divide within their own organisations.
- The unexpected benefit of agile project management as a people development tool.
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