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Cybersecurity Data Scientist

Mid-Senior Level | Full-time
Engineering | livermore, CA | 01/24/2021

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Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are looking for individuals that demonstrate an understanding of working in partnership with team peers, who engage, advocate, and contribute to building an inclusive culture, and provide expertise to solve challenging problems.

Job Description

We have an opening for a Data Scientist.  We are seeking a background in machine learning for cybersecurity applications. You will contribute, provide subject matter expertise and lead research projects in the area of cybersecurity for critical infrastructure systems and civilian networks. This position is programmatically in Global Security’s E Program and administratively will report to the payroll supervisor of the hiring organization.

In this role you will

  • Under limited direction, research, develop, design and implement machine learning algorithms for cyber threat detection in operational technology environments.
  • Identify data types that should be collected in Operational Technology (OT) environments to enable detection of cyber events.
  • Test and validate developed algorithms on real OT data.
  • Identify, define and scope moderately complex data analytics problems in cybersecurity domain.
  • Develop cross-domain strategies for increased network security and resiliency of critical infrastructure, working with researchers in other disciplines.
  • Perform other duties as assigned.

Additional responsibilities at the SES.3 Level

  • Lead multidisciplinary teams in the areas of modeling and simulation for critical infrastructure cyber security, information security, and network security. Continue building LLNL’s machine learning and data analytics capabilities.
  • Pursue program development opportunities by co-authoring proposals and proposing ideas that will address sponsor needs. Identify program growth opportunities for existing customers, understanding the customer space and needs.
  • Present results and provide subject matter expertise across multi-discipline projects engaging with sponsors on a regular basis.

Qualifications

  • Master’s degree in computer science, computer engineering, or a related field or the equivalent combination of education and related experience.
  • Experience developing software in Python, C++, or C.
  • Comprehensive experience implementing a deep learning workflow using one or more of the following frameworks: Theano, Tensorflow, Pytorch, or Keras.
  • Fundamental knowledge and/or experience in applying algorithms in one or more of the following Machine Learning areas: anomaly detection, one/few-shot learning, deep learning, unsupervised feature learning, ensemble methods, probabilistic graphical models, reinforcement learning.
  • Broad knowledge of network protocols such as DNS, or HTTPS.
  • Knowledge and/or experience of computer vulnerabilities, such as, buffer overflows, code injection, format string, etc.
  • Ability to effectively manage concurrent technical tasks with contending priorities, as well as approaching difficult problems with enthusiasm and creativity to change focus when necessary.
  • Ability to communicate comprehensive knowledge effectively across multi-disciplinary teams and to non-cyber experts and proficient interpersonal skills necessary to effectively collaborate in a team environment.

Additional qualifications at the SES.3 Level

  • Lead multidisciplinary teams in the areas of machine learning and deep learning algorithms.
  • Pursue program development opportunities by co-authoring proposals and proposing ideas that will address sponsor needs. Identify program growth opportunities for existing customers, understanding the customer space and needs.
  • Present results and provide subject matter expertise across multi-discipline projects engaging with sponsors on a regular basis.

Qualifications We Desire

  • Ph.D. degree in computer science, computer engineering, or a related field.
  • Experience with high performance computing, parallel programing, and/or cloud computing. Experience with Modbus, DNP3, IEC 104, or IEC 61850 protocols. Familiarity with full-stack software development.
  • Knowledge and/or experience of the reverse engineering process using tools such as OllyDbg, IDA, or WinDbg. Knowledge of the following source code analysis representations: abstract syntax tree, control flow graphs, data dependency graphs.

Additional Information

Why Lawrence Livermore National Laboratory?

  • Included in 2020 Best Places to Work by Glassdoor!
  • Work for a premier innovative national Laboratory
  • Comprehensive Benefits Package
  • Flexible schedules (*depending on project needs)
  • Collaborative, creative, inclusive, and fun team environment

Learn more about our company, selection process, position types and security clearances by visiting our Career site

Security Clearance

LLNL is a Department of Energy (DOE) and National Nuclear Security Administration (NNSA) Laboratory.  Most positions will require a DOE L or Q clearance (please reference Security Clearance requirement).  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing.  An L or Q clearance requires U.S. citizenship.  If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.  For additional information please see DOE Order 472.2.

Equal Employment Opportunity

LLNL is an affirmative action and equal opportunity employer that values and hires a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

If you need assistance and/or a reasonable accommodation during the application or the recruiting process, please submit a request via our online form

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

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