Hardly a week goes by that we don’t hear about a security breach somewhere. The systems affected have included government, retail both brick & mortar and online, education, big business, and of course banks, financial institutions, and credit cards. For a society that conducts over three-fourths of its business transactions online (or in the cloud), it sure doesn’t seem very secure. With October, Cyber Security Awareness Month, on the horizon what opportunities exist for Data Scientists in Cyber Security?

To be sure there are huge opportunities at the intersection of data science, big data tech, and cybersecurity.

Cyber Security has long focused on machines, networks, and exterior access as the endpoints to prevent data breaches and exposure. Both software programs and physical hardware have been used as stop points into the local network. And while you may be securing tens of thousands of computers and users, it only takes one failure to risk exposure of sensitive data. All too often cybersecurity is reactive and as the old saying goes, it’s a little too late to close the barn door once the horse is gone.

More and more organizations want to have an ongoing view of their risk and how to manage it resulting in a data-driven approach.

This requires analyzing the data that is available and its quality, dirty data equals bad information and insights that are not useful, much less actionable. There must be a plan to improve data sources and scrub the existing data before the organization can answer its most pressing questions.

Translating big data into business risk is what the data science cybersecurity team needs to determine where and what to focus on, justify costs, and how this investment will solve business problems.

Most organizations find they have meaningful data that isn’t timely or timely data that isn’t meaningful. Data science moves the needle from cybersecurity based on fear, uncertainty, and doubt to data that is insightful and current, allowing the organization to see predictive patterns and ensure greater data security. AI and machine learning create future predictions with even greater potential to prevent data breaches.

From the career standpoint, how does cybersecurity stand up? Job satisfaction numbers are high ranging from 70% to 83%.

Further 80% feel they have security and 86% would recommend the field to new graduates. The most common certification is Certified Information Systems Security Professional (CISSP) with just over one-third of those working in the field holding that certification. The most exciting part of the job was stated as catching threats followed by the potential impact of AI and ML. Last but certainly not least salaries are generally higher than in other data science specialties, often reaching $175k or more. While the field is currently dominated by males, the opportunities for skilled data scientists focused on data security are abundant for both men and women. Data security combined with data science is clearly a career of the future!

GATE Staffing understands the many challenges in finding the right data science or cyber security opportunity or candidate. We can help you find the role that is right for you, with the environment and future you want. Our extensive network of corporate hiring partners provides us with deep insight into the technology marketplace. Contact us through our website, or call us at 877-369-GATE.

Recent Job Postings:

Colorado Springs Jobs: Seeking experienced SEO Specialists or Analysts, and Digital Marketing Sales executives! Apply Within https://gatestaffing.com/jobs/location/co

New York City Jobs: Seeking experienced Software Engineers, Data Science Engineers, Front or Back end developers or SEO Specialists, or Analysts! Apply Within https://gatestaffing.com/jobs/location/ny

Washington DC Jobs: Seeking Cybersecurity Specialists, Data Architect, and Application Engineer! Apply Within https://gatestaffing.com/jobs/location/dc/