Cybersecurity Engineer - Big Data and Data Science

Herndon, Virginia, US

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As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
Location: Herndon, VA,
Enjoy challenges? Big challenges? Come work for the office of the IBM CISO organization and help meet the global challenges of keeping one of the largest companies in the world secure. We’re looking for enthusiastic and innovative team members to join us in our location in Herndon, VA. Position


The Cybersecurity Data Scientist/Engineer will work for the Global Chief Information Security Organization (CISO)office to identify, test and deploy information security solutions to secure critical data and systems throughout the IBM corporate IT environment. This hands-on role will require Cybersecurity subject matter expertise with demonstrated communication skills for active collaboration with a variety of different technology teams and business units as well as technology partners to promote security engineering practices.

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. The successful candidate will be a self-starter, have the ability to analyze complex problems, have an insatiable curiosity to learn about new technologies, share knowledge with others and has experience working in a fast-paced Agile project environment.

Essential Job Duties:
  • Identify valuable data sources and automate collection processes
  • Build predictive models and machine-learning algorithms
  • Undertake pre-processing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Provide break/fix support of all log routing, store and forward functions
  • Work with Security Architects and Analysts to accomplish the selection and onboarding of new data sets to designated security tools.
  • Perform extraction, transformation, loading, and filtering of data sets.
  • Strong communication, planning, documentation and organizational skills
  • Ability to work independently, set project goals, and achieve milestones with minimal direction
  • Ability to work collaboratively, across teams, driving toward common goals, and working within standardized processes
  • Solid experience supporting business critical efforts in a large enterprise environment

Required Technical and Professional Expertise
  • At least 5 years of proven experience as a Data Scientist or Data Analyst
  • At least 5 years of experience developing in languages commonly used for data analysis such as Python, R, or SAS
  • At least 3 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization
  • At least 3 years of experience with commercial machine learning systems
  • Experience working with databases such as SQL or MongoDB
  • Extensive Linux system administration experience
  • Experience with containerization technologies, such as Docker
  • Experience installing and configuring the Apache web server, including certificate management
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Strong communication, planning, documentation and organizational skills
  • Ability to work collaboratively, across teams, driving toward common goals, and working within standardized processes

Preferred Technical and Professional Expertise
  • BS/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred

About Business Unit
IBM Corporate Headquarters (CHQ) team represents a variety of functions such as marketing, finance, legal, operations, HR, and more, all working together to solve some of the world's most complex problems, help our clients achieve success and build collaborative work environments for IBMers.

Your Life @ IBM
What matters to you when you’re looking for your next career challenge?

Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.

About IBM
IBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

Location Statement
IBM will not be providing visa sponsorship for this position now or in the future.  Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Job region(s): North America
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