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Data Scientists

Author: Pete Langlois/Tuesday, March 07, 2017/Categories: SNI Companies, SNI Technology

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In the future, many technology teams will be in need of a “Data Scientist.”

Right now, if you are like many CIOs you may be asking yourself: “What is a Data Scientist?”

In short, a Data Scientist is a high-ranking professional with the training and curiosity to make discoveries in the world of big data. The title has been around for only a few years but there are already thousands of Data Scientists working at start-ups and well-established companies.

Similar to Business/Data Analysts, Data Scientists combine knowledge of computer science and applications, modeling, statistics, analytics, and math to uncover insights in data. Evolving beyond the Business/Data Analyst, the Data Scientist takes those insights and combines them with strong business acumen and effective communication to change the way an organization approaches challenges.

An average day in the work-life of a Data Scientist involves extracting data from multiple sources, running the data through an analytics platform, and then creating visualizations of the data. They will then spend hours cleansing and analyzing the data from multiple angles, looking for trends highlighting problems or opportunities. Any insight is communicated to the business and IT leaders along with recommendations to adapt existing business strategies.

Core duties of a Data Scientist include:

  • Researching and developing statistical learning models for data analysis

  • Collaborating with product management and engineering departments to understand company needs and devise possible solutions

  • Keeping up-to-date with the latest technology trends

  • Communicating results and ideas to key decision makers

  • Implementing new statistical or other mathematical methodologies as needed for specific models or analysis

  • Optimizing joint development efforts through appropriate database use and project design

These professionals use a combination of business focus, strong analytical and problem solving skills, and programming knowledge to quickly cycle hypothesis through the discovery phase of the project. Excellent written and communications skills are required to report findings in a clear, structured manner.

Several universities plan to launch Data Science programs, and existing programs in analytics - such as the Master of Science in Analytics program at North Carolina State - are busy adding big data exercises and coursework. Some companies are also trying to develop their own Data Scientists internally.

For organizations seeking to gain all of the possible insights from of their data holdings, a Data Scientist will be a key addition.

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Pete Langlois
Pete Langlois

Pete Langlois

Pete Langlois is the Chief Sales Officer at GEE Group. His blog leverages his decades of experience in hiring, training and retaining top talent and covers trends and issues of interest to employers and job candidates alike.

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Full biography

Pete Langlois is the Chief Sales Officer at GEE Group. His blog leverages his decades of experience in hiring, training and retaining top talent and covers trends and issues of interest to employers and job candidates alike.

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