What does a data scientist do? Most data scientists in the industry have advanced and training in statistics, math, and computer science. Their experience is a vast horizon that also extends to data visualization, data mining, and information management. It is fairly common for them to have previous experience in infrastructure design, cloud computing, and data warehousing. More at https://deeployer.com/.
Why data science? Here are some advantages of data science in business: Mitigating risk and fraud. Data scientists are trained to identify data that stands out in some way. Delivering relevant products. One of the advantages of data science is that organizations can find when and where their products sell best. Personalized customer experiences. One of the most buzzworthy benefits of data science is the ability for sales and marketing teams to understand their audience on a very granular level. More at https://deeployer.com/.
	What’s in it for you? Data science can add value to any business who can use their data well. From statistics and insights across workflows and hiring new candidates, to helping senior staff make better-informed decisions, data science is valuable to any company in any industry. More at https://deeployer.com/.