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Changing Data Science
By Vivian Zhang, Chris Neimeth
Opinions expressed by ICN authors are their own.
Why retailers can’t get enough data scientists
As the retail apocalypse continues – with an estimated 8,600 closing their doors in 2019 – other retail survivors are upping their game with hard-to-find data scientists
Stop searching for that data scientist unicorn
Instead, focus on hiring the technical skills needed to build the team, and the soft skills needed to work on the team
Why data science teams should operate like startups
Successful startups can teach data science teams a lesson or two.
The new data roles, brought to you by AI
Artificial intelligence is providing market competitiveness through higher productivity and lower costs across many industries. AI is also creating new data roles companies are desperate to fill; read more about these new roles.
Why data science and machine learning are the fastest growing jobs in the US
The US could have as many as 250,000 open data science jobs by 2024, and the data science skills gap will find companies scrambling to train or hire talent in the coming years
How women can find mentors in the field of data science
Although it may take a bit more effort in finding a mentor in this field, all data scientists will be much better off by learning from an expert
Fighting the gender gap in data science
As data science begins to infiltrate more and more industries, proving to be crucial for market competitiveness, women are slowly starting to see change. Here are some women, programs, and organizations leading the way
4 careers where data science skills will help you get ahead
As the talent gap widens companies will likely require or at least encourage a certain level of data savvy from nontechnical team members to stay competitive in the market
Can data scientists tackle the IoT demand?
Current and future data scientists should consider the impact IoT will have in the field, especially because companies investing in IoT will need data experts
Thinking about a career switch to data science?
If you are contemplating jumping into data science as a career, here are some key things to consider
Top 5 traits of highly effective data scientists
Data science is booming and there is an incredible demand for skilled employees across all types of industries. However, the top data scientists have some fundamental traits that set them apart from the crowd
What can be uncovered when big data meets the blockchain
As blockchain technology continues to be explode in popularity and be adopted by organizations around the world, new types of data are becoming available for analysis by the most recent big data technologies
Thinking twice: Data science or MBA?
The growing demand for business data roles and data-driven managers is pushing salaries to a point that one should consider a data science degree versus an MBA for management positions
3 reasons why data scientist remains the top job in America
For the second straight year, 'data scientist' is the top job in America. Why is the position in such high demand and will it stay there in the years to come?
3 things small businesses can learn about data science from Apple
Small businesses can begin to unlock the power of big data by looking at examples from one of the largest companies in the world: Apple
Why you should retrain your employees to become your data scientists
The demand for data scientists in the coming years is expected to create an immense talent shortage. Businesses should consider retraining their existing employees as data scientists
Is there a financial data scientist drought?
The financial organizations of the future will depend on financial data scientists to design, create, and maintain the algorithms that are taking over the financial world. The issue is the lack of training and education offered in...
