Data Scientist II

Responsibilities

• Design and implement data acquisition systems for test environments, enabling real-time collection, processing, and analysis of technical and operational data from bioanalytics, microbiology, materials and chemistry, human factors, systems engineering, and data science activities.
• Develop and maintain robust data pipelines that support the ingestion, transformation, and storage of test data from diverse instrumentation sources, ensuring high data integrity and traceability throughout the test lifecycle.
• Collaborate with systems engineers and test specialists to define data requirements, integrate instrumentation outputs, and optimize data flows for real-time monitoring and post-test analysis.
• Implement real-time data processing solutions to support rapid assessment of system performance, technical maturity, and operational readiness during test events.
• Support the creation of technical analysis reports and comparative matrices by integrating real-time and post-test data from instrumentation, modeling, and simulation outputs.
• Prepare and deliver comprehensive data packages, analysis summaries, and supporting documentation for technical reviews, risk assessments, and operational recommendations.
• Aid in the preparation of technical data tables, figures, and interpretations for reports and presentations, peer-reviewed publications, and client meetings.
• Interact professionally with internal and external clients, leadership, and team members.

Requirements

Some domestic travel is possible but not anticipated.

Qualifications

• Education reflecting one of the following: Master's degree with 5+ years of experience, or Ph.D. with 0-2 years of experience in Physics, Physics engineering, Mathematics, Biology, Chemistry, Statistics, or Engineering with a minor, certificate, or emphasis in computer science, data science, bioinformatics and relevant work experience requiring computer programming.
• Demonstrated proficiencies in computer programming and statical analysis (e.g., Python, R, SPSS).
• At least one year of experience with task leadership and proven ability to meet project deadlines on schedule and in budget.
• Ability to learn and understand new programing languages and mathematical concepts.
• Good oral and written communication skills.
• Self-motivated and able to work in a fast-paced environment with competing priorities.
• Ability to work in a team environment.

Preferred Qualifications

• 3 to 8 years of experience in modeling & simulation, statistical analysis, quantitative risk assessment, data science, or related field.
• Knowledge of advanced statistics and/or probability.
• Experience in modeling & simulation on a government program.