Job DescriptionThe Special Technologies Laboratory (STL) is in search of a Data Scientist with a strong analytical background to work across multiple teams at our Santa Barbara, CA facility, supporting the design and development of novel algorithms for signal and data processing. This position is part of an interdisciplinary team that values a diversity of subject backgrounds.
Key Responsibilities- Develop, implement, and evaluate machine learning algorithms to analyze multi-modal data (e.g. time series, imagery, sensor streams) from critical infrastructure monitoring.
- 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.
- Collaborate with cross-functional teams to translate operational challenges into analytical solutions.
- Perform exploratory data analysis to understand data characteristics, limitations and quality.
- Communicate technical findings clearly to both technical and non-technical stakeholders.
- Contribute to documentation, testing and continuous improvement of analytical workflows.
- Perform other duties assigned by Management.
Qualifications- Bachelor's degree in a calculus-based (STEM) field, plus at least 2 years' relevant experience. Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized.
- Course of study in applied mathematics, electrical, software or computer engineering preferred.
- Prefer a graduate degree in a STEM field with either graduate or undergraduate degree in a calculus-based physical science, engineering, or applied mathematics field.
- Proficiency with common compiled and interpreted scripting languages such C, C++ or Python.
- Experience developing statistical concepts to create solutions to physical science problems.
- Experience with building machine learning models for multi-modal datasets.
- Interest in autonomous manufacturing and inspection.
- Ability to manage multiple tasks and priorities.
- Excellent written and oral communication skills.
- Proficiency with signal processing, data exploration, and statistical analysis techniques is highly desired.
- Interest in machine learning methods, including clustering, regression, and classification is preferred.
- Experience with data visualization tools and user interfaces is preferred.
- Experience in developing models of physical phenomena to correlate with measured data is preferred.
- The primary work location will be at the Special Technologies Laboratory located in Santa Barbara, CA.
- Flexible work schedule can be negotiated with the manager; employees can work 5/8s, 9/80 or 4/10 work weeks.
- Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing.
- Must possess a valid driver's license.
Annual salary range for this position is:
$83,075.20 - $124,612.80.Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity.
