By dissolving the boundaries between methods development, deployment and use, research-focused data science teams can achieve greater impact. This requires effective collaboration between data scientists and domain experts, and an openness to getting your hands dirty with real-world data analysis.
Key Points:
– Close collaboration with domain experts helps data scientists focus on the right problems and offer relevant solutions
– The engagement of domain experts in methods development and implementation helps to shorten lead times from conception to deployment of new methods
– Data scientists should get their hands dirty with real data and learn as much as possible about the application at hand, in order to contribute as effectively as possible within their team
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