AI News, Advice for Data Scientists on Where to Work
- On Sunday, June 3, 2018
- By Read More
Advice for Data Scientists on Where to Work
We are amalgamating our combined experience here to offer some advice - three things to look for in a company that could make it a great place to
Note that data science may be supportive of lower prices, better products, and faster shipping, however, it is not typically the direct enabler of these differentiators.
More commonly, the enablers are other things - economies of scale in the case of lower prices, patents or branding in the case of product, and automation technology in the case of faster shipping.
It’s willing to invest in acquiring the top talent, building the necessary infrastructure, pioneering the latest algorithmic and computational techniques, and building incredible engineering products to manifest the data science.
It’s an amazing intersection to be at – a place that gets you excited to wake up to every morning, a place that stretches you, a place that inspires you (and supports you) to be the best in the world at what you do.
Almost all companies will generate more data as they grow, but if you join a company that already has data your potential for impact and fulfillment will be much higher.
Nearly all companies that fit the criteria in the sections above will already have some applications in place where the work of data scientists is essential.
In fact, in companies that embody this mindset most effectively, it is likely difficult to locate the boundary between data science and engineering teams.
greenfield can be intimidating in its lack of structure, but the amount of creativity and freedom available to you as a data scientist is never greater than when you’re starting from scratch.
While it is extremely important to constantly iterate and improve on systems that already exist, the Version 1 of something new can fundamentally change the business.
However, our very different business model places a huge emphasis on data science, enables some of the richest data in the world, and creates space for a whole new suite of innovative software.
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