Scientist II (Data Science)

Location: On-site at the Special Technologies Laboratory in Santa Barbara, California; job information also lists Goleta, California. U.S. citizenship is required to obtain and maintain a DOE Q-level security clearance.

Annual salary: $83,075.20–$124,612.80.

Company

hirify.global operates within the U.S. Department of Energy national security environment.

What you will do

• Develop, implement, and evaluate machine learning algorithms for multimodal data, including time series, imagery, and sensor streams.
• Design models to detect anomalous behavior and emerging risks in complex processes.
• Apply statistical and data-driven techniques to support quality assurance, system integrity, and counter-sabotage objectives.
• Perform exploratory data analysis and contribute to documentation, testing, and continuous improvement of analytical workflows.
• Collaborate with cross-functional teams to translate operational challenges into analytical solutions.
• Communicate technical findings to technical and non-technical stakeholders.

Requirements

• Bachelor’s degree in a calculus-based STEM field and at least 2 years of relevant experience; skill-building experience must demonstrate deeper technical specialization or additional cross-disciplinary knowledge, and graduate research experience may be recognized.
• Proficiency with compiled and interpreted scripting languages such as C, C++, or Python.
• Experience developing statistical concepts to solve physical science problems.
• Experience building machine learning models for multimodal datasets.
• Ability to manage multiple tasks and priorities.
• Excellent written and oral communication skills.
• Ability to work on-site at the Special Technologies Laboratory in Santa Barbara, California.
• Ability to obtain and maintain a DOE Q-level security clearance, including U.S. citizenship, background investigation, drug testing, and other applicable security evaluations.
• Valid driver’s license required.
• Pre-placement physical examination, including a drug screen, is required.

Nice to have

• Graduate degree in a STEM field, preferably with a calculus-based physical science, engineering, or applied mathematics degree.
• Coursework in applied mathematics, electrical engineering, software engineering, or computer engineering.
• Interest in autonomous manufacturing and inspection.
• Proficiency with signal processing, data exploration, and statistical analysis techniques.
• Interest in clustering, regression, and classification methods.
• Experience with data visualization tools and user interfaces.
• Experience developing physical-phenomena models to correlate with measured data.

Culture & Benefits

• Interdisciplinary work across multiple teams with diverse subject-matter backgrounds.
• Flexible work schedule may be negotiated with the manager.
• Available schedules include 5/8s, 9/80, or 4/10 work weeks.
• Employment is subject to a substance-abuse policy, including random drug testing.