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2.5 quintals bytes of data are generated by mankind every day! No wonder, Tim Berners-Lee, inventor of the WWW predicted that data is the most precious thing and it will last longer than the systems themselves. That’s why hiring firms engage in a talent war to compete for data scientists everywhere.
The role of a Data Scientist revolves around a combination of quantitative analysis, programming, and narrative.
“Data scientists are kind of like the new Renaissance folks because data science is inherently multidisciplinary”
John Foreman, Chief Product Officer at Podium
A data scientist channelizes the opportunities presented by data. High-ranking professionals make discoveries while swimming in data. With the fundamental skill of writing data to testing hypotheses to reduce losses, a data scientist literally converts a mass of unstructured data into a revenue gold mine.
“A data scientist does model-driven analyses of our data; analyzes to improve our planning, increase our productivity, and develop our deeper levels of subject matter expertise. A data scientist works at the tactical, operational, and strategic levels, sharing insights with the business.”
Chris Pehura, Practice Director at C-Suite Data
In any case, a Data Scientist’s toolbox contains everything about data visualization, machine learning, deep learning, pattern recognition, data preparation, and text analytics.
Do you know that as per LinkedIn’s Emerging Jobs Report careers in Data Science are booming and accelerating to achieve a growth of $230.80 billion by 2026.
Also, worlddatascience reports that millennials or Gen Z have vast career opportunities in Data Science in the current job market. Not only is the pay great, but also there is exponential demand for future datasets.
The U.S.Bureau of Labor Statistics predicts the growth of the Data Scientist job market at 22% between 2020 and 2030.
As per Glassdoor estimates, the national average for a Data Scientist salary in the USA is $1,17,212 per year with an added compensation between $3,362 – $58,209.
Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process.
Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the Data Scientist role
Go ahead and spotlight your Data Scientist with Glider AI today!
You can always write to us at info@glider.ai to help you access the hiring resources
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