IBM announced a universal platform called the Data Science Experience that integrates data entombed in different protocols on various incompatible systems. The novel data science platform will revolutionize the way organizations manage their business and compete with othesr in the marketplace. Rob Thomas, a VP at IBM said in reference to the Data Science Experience platform -“Today, data science is an individual sport. What we’re doing now is transforming it into a team sport, where groups in separate departments can work together to build, refine and share data models and insights.”
Data is growing rapidly and so is the skills gap. “The skills your team is going to need in three years are not the skills they have today,” said John Showalter, MD, chief healthcare information officer at the University of Mississippi Medical Centre. “They’re going to need to be trained.”
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DARPA is trying desperately to close the huge skills gap by using its Data-Driven Discovery of Models. The goal of D3M is to develop complex algorithms and software which will solve the data science need for an organization. A non-expert in data science will be able to facilitate empirical models based on these algorithms.
According to a recent survey by Analytics Week and Business over Broadway Data Science Survey – highlighted the regional differences in data science roles, data scientist’s skill proficiency level in these regions and an overall job satisfaction. North America has the lowest percentage of developer data scientists, but the data scientists from this region ranked higher for math and statistical modelling proficiency.
Experts are of the view that India would soon provide an army of data scientists just like IT engineers that it provided in the last decade. Data scientists can become major contributors to our economic growth in future but there are many challenges to it. India will need trained IT professionals with adept database skills, math & statistic skills and programming skills. With limited number of graduates having knowledge of statistics and computer science, India’s undergraduate education needs to lay emphasis on data science courses to become world’s data science provider.
Austrian startup company Knoyd is all set to change the way data scientists are trained and hired through its new data science bootcamp known as Basecamp. The new data science bootcamp will let prospective data crunchers learn data science by solving real business problems and prepare them for a data science career. The basecamp will be established in Vienna which will train the candidates on necessary skills like Python, Spark, R, databases, machine learning , data engineering and other business aspects required to do data science.
Clear Meadow Farm in Harford County, Maryland is home to Greg Rose, who uses data science techniques to fully optimize his 8000-acre farm that grows corn, soy, wheat, barley, sunflowers and sorghum in addition to raising Black Angus cattle (which you might find in Whole Foods). There are complex field maps, which gather sensor data from different farm equipment – which is then fed to Rose’s computer through the cloud.
Future data scientists – pull up your socks and join the growing number of data science boot camps across the country to boost your career. Across the country there are 91 full time coding bootcamps which will see a 60% rise in its graduates this year. Data Science bootcamps are certainly one of the most popular among them all.
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Most recruiters find this question very difficult to answer. The skills and proficiency of a data scientist depends on the industry or the company he/she is being hired for. But to highlight some loose parameters, recruiters look for two basic criteria to be fulfilled – 1. The data scientist applicant has to have a PhD in either a technical or a quantitative field. 2. If hiring for a position higher up – then the person needs to have industry experience.
Instacart has found a way to make money through same day grocery delivery and it’s tapping into data science to increase profits. The vice president of Data Science, Jeremy Stanley said that the new algorithms developed by data crunchers will help the company increase their revenue and slash down the costs. Data science team at Instacart has helped make it gross margin positive but they are still lacking on profits. However, Stanley and his team at Instacart are making efforts to change the economics of the business by minimizing the time taken to fulfil an order and finding the best path to profits.
To improve customer journey and increase personalization, Shop Direct is ramping up its big data investments by establishing a data science team. Shop Direct hired Gael Decoudu as its first head of data science who will lead a team of 20 and will be responsible for enriching customer experience through better data modelling and customer segmentation.