Microelectronics Security Data Scientist

Riverside Research; Dayton (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Riverside Research in Dayton, OH seeks a Microelectronics Security Data Scientist to collaborate with a multidisciplinary team on security-focused microelectronics research. The role requires TS-level security clearance and work in a secure US Government facility with limited travel.

You will conduct data science research, manage the full lifecycle, develop whitepapers, mentor junior researchers, and work with customers and engineering teams on challenging hardware security projects.

Qualifications

• Minimum 5 years of related experience with a Bachelor's degree, 3 years with a Masters degree, a PhD without experience, or equivalent work experience is typically required for an employee at this level.
• Secret clearance required to start, but must be able obtain Top Secret security clearance and all required program access approvals.
• Experience across the full data science lifecycle for classification/regression, clustering, text analytics, image recognition, or related applications.

Responsibilities

• Conduct research in data science applications for microelectronic hardware security.
• Gathers requirements, proposes approaches, pre-processes data, performs exploratory analysis, models data, and presents findings.
• Develops whitepapers and presentations to communicate research findings.
• Contributes to proposals for new research in related technology areas.
• Provides technical mentorship to junior researchers on programs.
• Collaborates with customers and cross-disciplinary teams on complex research projects.

Skills

Machine learning

Python programming

Data analysis

Communication skills

Education

Bachelor's degree in STEM fields

Master's degree in related discipline

PhD in related discipline

Tools

TensorFlow

PyTorch

NumPy

Scikit-Learn

Job description

Microelectronics Security Data Scientist

Location: US-OH-Dayton

ID: 2026-4316

Category: Research & Development

Position type: Full Time Salary

Riverside Overview

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.

All Riverside Research opportunities require U.S. Citizenship.

Position Overview

The Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As a 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 projects developing solutions to complex, open-ended hardware security problems. The position is in Dayton, OH and requires each employe to possess and maintain a security clearance. Remote work is not available for this position. Travel is not expected to exceed two to four times a year.

Responsibilities

Job Responsibilities

• Conduct research in the application of data science, including deep learning and complex statistical data analysis, for problems within microelectronic hardware security
• Perform all aspects of the data science lifecycle; gather requirements from non-data science technical staff, propose technical approaches, pre-process data, perform exploratory data analysis, model the data, critically evaluate performance of the model, and present findings
• Develop whitepapers and presentations to communicate research findings
• Contributes to proposals for new research in similar and/or related technology areas
• Provide technical mentorship to junior researchers supporting your programs
• Works collaboratively with customers, multi-disciplinary research partners and Riverside Research business, engineering, and technology teams on complex research and development projects

Qualifications

Required Qualifications

• A minimum of 5 years of related experience with a Bachelor's degree, 3 years with a Masters degree, a PhD without experience, or equivalent work experience is typically required for an employee at this level.
• Secret clearance required to start, but must be able obtain Top Secret security clearance and all required program access approvals
• Expertise with machine learning in one or more of the following: Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction
• Proficient in Python and popular data science libraries (NumPy, Scikit-Learn, Matplotlib, etc.)
• Demonstrated experience across the full data science lifecycle, for classification/regression, clustering, basic text analytics, image recognition, or other related applications.
• Experience presenting technical material to both technical and non-technical audiences
• Ability to manage timelines, product delivery, and product quality for research projects
• Willing to work in a secure US Government facility
• Interest in solving open-ended research challenges
• Willing to travel 2-4 times per year
• Bachelor's Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 5 years' experience, or Master's Degree in a related discipline and 3 years' experience, or a PhD in a related discipline

Desired Qualifications

• Active DoD Top Secret (TS) or equivalent US Government security clearance
• Experience with TensorFlow, PyTorch, or similar Deep Learning framework
• Experience with parallel and distributed processing of large data sets across multiple GPUs
• Experience with data transformations such as Principal Component Analysis (PCA)
• Experience using revision control software
• Experience leading a small technical team on research projects
• Understanding of information theory and its application to cryptographic algorithms
• Understanding of signal processing is highly desired
• Bachelor's Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 8 years' experience, or Master's Degree in a related discipline and 3 years' experience, or 3 years' practical experience with a PhD in a related discipline

Global Comp

This represents the typical compensation range for this position based on experience, location and other factors.

Closing Statement

Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.

Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.