Why Data Science Matters – The Startup – Medium
7 March 2019 2:31 AM GMT
The world will become more data-driven over time but data-informed decision making will continue to be impactful.
- Typically data scientists help design experiments, identify data-informed hypotheses on phenomena, and guide product team on constant optimization of the product through the data insights.
- These data scientists train machine learning models of a phenomenon in order to forecast future expectations and trends.
- These four outcomes have specifically led to two different types of data scientists in the industry — product analysts and algorithm developers.
- That said, generally speaking there are two main camps of data scientists: Product analysts, whose role is to deliver data-informed stories that advocate for a change in product or strategy.
- An algorithm developer’s primary job is to leverage data to improve product performance in pursuit of a specific end goal, typically forecasting outcomes or building production systems .
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