Telecom Data Scientists

There is a significant demand for data scientists in telecommunications. Within the industry there are multitudes of systems creating large amounts of data ripe for analytics. Analysis is beneficial for sales and marketing, managing vendors, and customer experience within the telecom field. If you are considering pursuing a degree in data science, you should be happy to know that the supply of professionals who can work effectively with large quantities of data is limited. This shortfall is reflected in rising salaries for data science professionals.

The Value of Telecom Data Scientists

The ability to use data to focus on improving user experiences makes telecom data scientists extremely valuable to telecommunications companies because it allows them to offer personalized services and products at every step of the purchasing process. These benefits don’t stop at point of sale.

Praveen Thakur, VP of the Technology Business Unit, Asean, Oracle, stated in an Enterprise Innovation article that big data gives telecoms the power to track customer experiences throughout the lifespan of a relationship – from the first vendor interaction to post-purchase behavior. Analysis of this data can help determine a subscriber’s lifetime value, generate ideas for brand improvement, reveal cross-channel insights and avoid customer churn.

The Growing Demand for Talent

A recent study by the McKinsey Global Institute states that a shortage of analytical and managerial talent necessary to make the most of big data is a significant and pressing challenge for the United States. The report also estimates that by 2018 there will be four to five million jobs in this country alone requiring data analysis skills, and that large numbers of positions will only be filled through training and retraining. It is also projected that there will be a demand for 1.5 million more managers and analysts with deep analytical and technical skills who can ask the right questions and consume the results of analysis of big data effectively. 

Within the telecommunications industry, the need for telecom data scientists is especially strong. Business Intelligence (BI) vendors such as IBM, Birst, SAS, MicroStrategy and SAP are breaking down the barriers between separated and often incompatible data stores to make use of an enormous volume and variety of information. As a result, this is expected to provide an abundance of jobs for telecom data scientists.

Job Market Forecast

In a press release titled “Big Data and Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014-2019,” Mind Commerce predicted that the big data driven telecom analytics market will grow nearly 50 percent from 2014 to 2019. It also forecasts that by the end of 2019, the market will be up to $5.4 billion in annual revenue.

IBM, which places high value on big data, has stated that what sets the data scientist apart is strong business acumen, coupled with the ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge. Anjul Bhambhri, vice president of big data products at IBM, added, “A data scientist is somebody who is inquisitive, who can stare at data and spot trends. It’s almost like a Renaissance individual who really wants to learn and bring change to an organization.”

Position Yourself to Lead in Data Science

With a degree in data science, you will be in an ideal position to succeed in this growing field. There is no question that telecom data scientists are and will continue to be a hot commodity in this industry. By obtaining a master’s degree in data science, you are choosing a career that is in high demand in an industry where personalized services, network optimization and social media analysis are critical. Click here to see degree options in data science, or click here to get more information on careers in the digital communications field.