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【51CTO.com Quick Translation】 Data science careers are booming, and skilled employees are increasingly in demand across industries. Surveys have found that outstanding data scientists share some similar traits that make them stand out from the crowd.
There is a huge demand for data scientists in today's society, and this skill shortage will continue for several years. According to IBM research, the number of annual job vacancies for all data professionals in the United States will increase from 364,000 to 2.72 million in 2020. Another survey shows that by 2020, there will be a shortage of nearly 700,000 new positions such as data scientists, data developers, and data engineers.
Many companies find themselves searching for qualified candidates who only meet the technical requirements of the business. However, just because a person meets the criteria technically, it does not necessarily mean that they will make a strong team. HR leaders should also pay attention to other characteristics of data scientists. Data shows that it takes an average of 53 days to recruit a suitable data scientist, and these data scientists usually have these 5 traits.
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1. Analytical skills and quantitative reasoning skills
Software company SAS surveyed data to understand data scientists. The most important characteristic of a good data scientist is strong logical analysis ability. Among the people surveyed, 41% of them have this characteristic, making it a strong statement.
A data scientist should have a technical bias, meaning they stick to the data and don't bring emotion or intuition into an argument. This person must be able to speak clearly and explain concepts in a way that is easy to understand, since others on the team may not have a technical background.
2. Storytelling skills
Data scientists not only need to analyze data, but also need to explain this data to non-technical team members. A qualified data scientist can look at the data and tell its story, explaining how the team should collect the data, how they analyze the results, and what they predict will happen in the future. As big data becomes more important to the company's decision-making process, the team needs a leader who can effectively tell the data story to the rest of the team.
3. Teamwork
According to a survey by CrowdFlower, a team of good data scientists is always happy to work and motivated. The survey found that 60% of data scientists spend the most time cleaning and organizing data. A few years ago, the New York Times believed that this figure should be 80%. When asked what part of their job they disliked the most, 57% of scientists answered data cleaning and organizing data.
It is important that when a company hires a team player or a data scientist, they accept that data cleaning and data organization are required in their job. Companies can strive to offer other interesting tasks to data scientists, but candidates should understand that cleaning and organizing data is part of the job.
4. Solve practical problems
Using data to solve problems is an essential element of the job, but data scientists must also be able to consider other aspects of the problem. The IT industry is moving at an unimaginable pace, and data scientists may find themselves without the right tools and resources to complete a task. According to a survey by Crowd Flower, 14% found themselves without enough tools to complete certain tasks.
HR managers should look for candidates who can address this problem and use the resources at hand to complete data tasks. Data scientists should also know which resources are necessary to complete the work and can also ask the company for these tools. This is a strong candidate. As the industry develops in response to social needs, data scientists should be able to cope with the lack of technology and complete necessary work projects.
5. Curiosity
Data science is growing at an incredible rate, and breakthroughs are happening all the time within the industry as people working in IT are eager to advance the use of data. Candidates who are curious about the use of data will make excellent team members as they can help companies find new uses for the big data they collect.
Data science is growing rapidly, so candidates who can work effectively in this field are attractive to businesses. However, HR and management should ensure that candidates have these five skills to strengthen their data teams, rather than just hiring people who meet technical requirements. Creating a cohesive data science team can drive the use of data and help you and your business find new and innovative solutions to problems.
Author: Vivian Zhang/Chris Neimeth,
Original link: http://www.infoworld.com/article/3215868/data-science/top-5-traits-of-highly-effective-data-scientists.html
Translated by Liu Nina [Translated by 51CTO. Please indicate the original translator and source as 51CTO.com when reprinting on partner sites] |
