Microelectronics Security Data Scientist

Riverside Research; Dayton, Northern (OH, KY); Hybrid; USD 130,000 - 195,000; Full time

Job summary

Riverside Research in Dayton, OH seeks a Microelectronics Security Data Scientist to advance hardware security through data science, ML, and deep learning. The role requires collaboration with engineers, SMEs, and program managers on open-ended R&D projects and secure facilities.

The candidate will handle data science lifecycles, mentor junior researchers, and contribute to proposals while traveling 2–3 times per year. U.S. citizenship and TS upgrade readiness are essential.

Qualifications

• Requires 5+ years experience with a Bachelor’s degree (or 3 years with a Master’s) or equivalent work exp.
• Secret clearance to start, ability to obtain TS clearance and program access approvals.
• Expertise in ML for signal/image data: unsupervised, Bayesian, regression, DL, GNNs, inference.
• Proficient in Python and data science libraries (NumPy, Scikit-Learn, Matplotlib).
• Experience with time-series or image data processing, feature extraction, model development.

Responsibilities

• Conduct data science research for microelectronic hardware security using DL and statistics.
• Manage end-to-end data science lifecycle: data prep, modeling, evaluation, and presentation.
• Develop whitepapers and presentations communicating findings to diverse audiences.
• Contribute to proposals for new research in related technology areas.
• Provide technical mentorship to junior researchers and collaborate across teams.
• Work with customers and partners on complex R&D projects in secure facilities.

Skills

Machine Learning

Python

Time-series data

Security clearance

Communication skills

Education

Bachelor’s degree in quantitative discipline

Master’s degree in related discipline

PhD in related discipline

Tools

TensorFlow

PyTorch

Git / Revision control

NumPy/Scikit-Learn

GPU acceleration

Job description

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 aMicroelectronics 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 at the customer’s location in Dayton, OH. Remote work is not available for this position. Travel is not expected to exceed two to three times a year.

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

• A minimum of 5 years of related experience with a Bachelors 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 suited for signal and image data, 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 processing time‑series or image datasets, including alignment, filtering, feature extraction, and model development
• 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 facilities
• Interest in solving open-ended research challenges
• Willing to travel 2-3 times per year

Desired

• Active DoD Top Secret (TS) or equivalent US Government security clearance
• Experience with TensorFlow, PyTorch, or similar Deep Learning framework
• Experience with batch processing, GPU acceleration, or parallel workloads
• 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

$130,000 - $195,000 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.