What kind of support do data scientists provide? It may include the following categories and many more: The stakeholders of the data scientists in this scenario are often product managers, engineer managers, and other internal customers. In a product company, data scientists often provide support for a specific product that directly impacts product roadmap, feature rollout, product strategy, and thus indirectly impacts revenue. Data science provides support and drives strategy for a specific product They spend a lot of time researching, evaluating different algorithms, writing pipelines, designing model architecture, training models, monitoring model performance, and deploying models into production. In this scenario, data scientists are often given a specific problem to dive into, with the goal of creating a new or improved product.
Or data scientists can program a recommendation system that directly brings up user metrics and revenue. For example, data scientists may program and create commercial NLP models that customers can purchase. Sometimes, data scientists create algorithms or a product that can be directly sold to customers.
Data science products are the direct source of revenue For example, monthly active users or monthly returning users could be a north star metric for a product company that values growth in users.įrom my perspective, there are five areas where data scientists are valued in most businesses: 1. More generally, we can view value as whatever the north star metric is that’s essential for the business. What do I mean by value? For a typical business, the ultimate goal and form of business value are to increase revenue. What do data scientists do? I think the most important thing is to bring value to the business through data science.
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