Computer Systems Analysis - III

• Data Analysis and Exploration:
• Collect, clean, and preprocess large and complex datasets from various sources, e.g., high-dimensional measurement data from complex experimental setups involving many sensors.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and maintain data quality checks and validation procedures.
• Model Development and Deployment:
• Design, develop, and evaluate computational models for pertinent application space, e.g., dynamic temperature sensing within hypersonic flow field using Physics-Informed Neural Networks
• Independently research and implement new technologies and methodologies.
• Optimize model performance considering both fidelity and computational efficiency.
• Utilize statistical methods to quantify uncertainty and its propagation.
• Advance developed products through Technology Readiness Levels and impacting Fleet readiness
• Stay up-to-date with advancements in, e.g., scientific literature
• Statistical Analysis and Experimental Design
• Apply statistical methods to design and analyze experiments for optimizing measurement procedures and evaluating the performance of new sensor technologies.
• Communication and Collaboration:
• Communicate complex technical findings to both technical and non-technical audiences through clear and concise presentations and reports.
• Collaborate effectively with cross-functional teams, including scientists, program managers, and other stakeholders.
• Contribute to the development of data science best practices and standards

Do you have experience in Predictive modeling analysis?, Do you have a Master’s degree?, * Master’s or doctoral degree in a quantitative field such as Physics, Statistics, Mathematics, Computer Science, or a related discipline., * 2+ years of experience with writing computer code with C/C++, MATLAB, or Python languages

• 2+ years of experience with developing and deploying machine learning models.
• Experience with statistical modeling techniques (e.g., regression, time series analysis, hypothesis testing).
• Strong understanding of mathematical analysis, measurement principles, error analysis, and uncertainty quantification.
• Preference towards finite element modeling and analysis, as related to the above
• Experience with data visualization tools (e.g., Tableau, Power BI, and Matplotlib).
• Experience working with larger datasets (e.g., 1M+ data points) and high performance computation

Skills

• Proficient in Python, C/C++, MATLAB and/or R.
• Experience with scikit-learn, TensorFlow, PyTorch, and/or other relevant libraries.
• Experience with Linux operating systems (e.g., RHEL 9)

Position Requirements:

Must be a U.S. citizen and eligible to obtain and maintain a Department of Defense (DoD) Secret security clearance.

This is a full time position located in Norco, CA.

Pulled from the full job description

• 401(k)
• Health insurance
• Vision insurance
• Dental insurance
• Life insurance, * 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Vision insurance

American Technical Services, Inc. (atspage.com), is a leading technology and engineering company providing government and commercial clients a wide range of metrology & calibration engineering services. We are seeking a highly skilled and innovative Computational Scientist with a strong foundation in mathematics, statistical modeling, machine learning algorithms, and data manipulation techniques. This role involves developing mathematical models and their computational implementation to expedite and improve development of metrology solutions, including measurement standards and data products estimating uncertainty and its propagation. The successful candidate will be working with an outstanding team of individuals in a dynamic work environment that will make a significant long-term contribution to the operations of the U.S. Navy.