Microelectronics Security Data Scientist

Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems.

 

Job Number: 1444

The Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As Microelectronics Security Data Scientist you will collaborate with a multi-disciplinary team of research engineers and scientists on a wide range of microelectronics research projects. You will work directly with a team of hardware security research subject matter experts (SME), the senior Principal Investigator, Technical Lead, and Program Manager to support various project-specific research scope and deliverables providing value to our customers.  You will also contribute to the growth of both our government customer and internal R&D capability to help advance the edge in data science.  The position is in Dayton, OH and requires a Top Secret security clearance.  Remote work is not available for this position. Travel is not expected to exceed two to four times a year.

Job Responsibilities

• Work collaboratively with customers, multi-disciplinary research partners and Riverside Research business, engineering, and technology teams.
• Work with variable-scale complex data sets. Solve difficult analysis challenges associated with the scope of the program research. Apply advanced analytical methods as appropriate.
• Perform end-to-end analysis including data gathering and requirements specification, processing, and results analysis.
• Develop and/or support development of papers and presentations of analysis when requested by customer or otherwise appropriate.
• Conduct research in advanced analytics including deep learning and complex statistical data analysis.
• Interact with our customer and research partners in both virtual and in-person meetings supporting the communication of analysis and findings.
• Develop analysis, forecasting and optimization methods/models to provide the business solution to the clients. Develop appropriate visual displays of quantitative information supporting project research.
• Propose areas for internal capability development and new areas of work relevant to the program scope and the latest data science developments.
• Provide thought leadership in algorithmic and process innovations and contribute to creativity in solving unconventional problems.
• Work with management to plan, lead, and execute technical resource application to the project and manage and communicate deliverable status and timelines.
• Mentor junior researchers to help them improve their technical skills and development as a scientific researcher.
• Other duties as assigned.

 

Required Qualifications

• Active DoD Top Secret or equivalent US Government security clearance
• Bachelor’s Degree in a quantitative discipline (e.g., statistics, computer science, mathematics, computer engineering, electrical engineering, or other STEM fields) and 5 years’ experience, or Master’s Degree in a quantitative discipline and 3 years’ experience, or a PhD in a related discipline
• Experience with machine learning in one or more of the following: Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph Neural Networks, Belief Propagation
• Proficient in Python, C / C++, or Matlab
• Experience in AI / Deep Learning for data analytics.
• Demonstrated ability to run standard model algorithms in Python, to perform classification/regression, clustering, basic text analytics, image recognition, etc.
• Experience with machine learning software and development languages such as Python, C, or equivalent language to build and automate data pipeline supporting research data analysis.
• Ability to manage timelines, product delivery, and product quality
• Able to work individually in a multi-discipline team with minimal direct supervision
• Willing to work on-site in a cleared US Government facility

 

Desired Qualifications

• Master’s degree or PhD in Applied Mathematics or Statistics
• Experience with TensorFlow, PyTorch, or similar Machine Learning framework
• Experience with parallel and distributed processing of large data sets
• Experience using revision control software

 

Riverside Research strives to be one of America's premier providers of independent, trusted technical and scientific expertise. We continue to add experienced and technically astute staff who are highly motivated to