How to Hire a Productive, Diverse Team of Data Scientists


吳彩麗 
Jacqueline Vivi
D0732325

Link: https://channels.theinnovationenterprise.com/articles/how-to-hire-a-productive-diverse-team-of-data-scientists



With the advancement of the world, of course in the future there will be way more data then there is today. Therefore, one data scientist alone will not be rationally possible to do all the jobs, so it will soon be a team effort and we have to create a productive and diverse team. This article describes exactly how the team will be hired.

There are 3 steps in how companies will gather data and make their decision on who to hire. Firstly, companies will ask each of the people applying for the job if they have any questions and later the number of questions each person asks will be computed as data. In the second step, the job applicants are asked to choose and explain any data set and will be marked based on their problem search ability, the selection of the data set, the problem description, their approach to the problem, and their code solving ability. The third step will be another interview where job applicants will be told about what the data scientist in that company do and marking the time you understood everything. They may also give you some problem cases for you to solve. 

With all of this, the company can group every job applicants with data scientist already in their company or may also create a new group with new people. I am not saying that this method is used by every company but I think it is a good article to read for precaution so that we can practice on what to expect when doing interviews.


Comments

Post a Comment

Popular posts from this blog

How Big Data Can Boost Weather Forecasting

張岳庭 D0741017 Source:  https://www.wired.com/insights/2013/02/how-big-data-can-boost-weather-forecasting/ Considering the number of variables involved and the complex interactions between these variables, weather forecasting has always been extremely challenging. The significant increase in data collection and processing capabilities has greatly improved the ability of weather forecasters to pinpoint the time and severity of hurricanes, floods, snowstorms and other weather events. Globally, more and more evidence of climate change is prompting governments and scientists to take action to protect people and property from its effects. But to take effective measures, they need to know more about the weather-from everything that will happen tomorrow to what will happen next year. According to the professor of economics and finance , Alan Anderson, PhD , “Example of an application of big data to weather forecasting is IBM’s Deep Thunder. Unlike many weather forecasting systems...
Read more

How Big Data is Changing the Production Industry

Blog#4 : How Big Data is Changing the Production Industry Name : Aileen 蔣慧玲 Student ID : D0726917 Source :   https://www.productionhub.com/blog/post/how-big-data-is-changing-the-production-industry Information technology plays a major role in Hollywood. Producers have to use big data analytics to get the right consumers and communicate with them well. Big data technologies will help filmmakers figure out the best ways to share their ideas and deliver messages, develop movies and content that involve ethical and societal issues. Therefore, information that we can get from the help of big data can help filmmakers make key decisions. Big Data is Changing the Production Game Big data technology can help filmmakers to connect and engage with consumers more directly using social media, mobile devices and traditional advertising outlets. Using this technology, producers can develop promotions that reaches the right consumer at the right time. It is not enough just to mainta...
Read more

Big Data case study: 5 relevant examples from the airline industry

D0740712 Connie  吳霈晴 Website: https://blog.datumize.com/5-relevant-examples-of-a-big-data-case-study-from-the-airline-industry With the summer vacation coming, travel is the one that people love to do during vacation, especially long vacation, going abroad may be the first choice for many travelers. So this makes me think of what is the relationship between big data and airplanes? How will it apply on the airline industry? This article tells about the benefits of big data on airlines, which covers three main advantages. 1.      Smarter maintenance 2.      Safer flights 3.      Improve service The first one includes the fuel of airplane, by analyzing and predicting, the article takes some specific airplane company as an example, giving the real number and how much they save the cost. Second, safety. Like this kind of transportation has a higher risk to take, if have the big data’s help, th...
Read more