Data Ops Engineer

SAIC • Coronado, CA

17h • Onsite

About The Position

SAIC is seeking an experienced Data Scientist to join our Technical Engineering and Design Department in support of our United States Air Force customer. This position is on-site Honolulu, Hawaii.

Requirements

• Ability to lift 10 lbs. on an occasional basis.
• Ability to use a personal computer, keyboard and mouse on a consistent basis.
• Operates standard computer-based business tools (including but not limited to Microsoft Word and Excel) effectively.
• Demonstrates clear and concise written communication skills in a technical format, that will support in the development of all required plans and reports required of the program.
• Active communicator - able to present technical briefs, giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate.
• Ability to lead discussions pertaining to technical subject matter.

Responsibilities

• Develops and implements data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• Experience with AI/ML to design, train, test, and deploy AI and ML models to extract insights and predictions from structured, unstructured, and classified data sources. Apply techniques such as natural language processing (NLP), image recognition, neural networks, and predictive analytics to enhance decision-making processes across diverse DoD missions.
• Experience with classified data feeds, ensuring the proper handling of sensitive information to remain compliant with DoD and national security regulations. Implement advanced data pre-processing, cleansing, and security protocols suitable for classified datasets.
• Visualizes, interprets, and reports data findings in dynamic data reports.
• Employs a variety of data manipulation and visualization tools to best convey information/results to customers.
• Supports the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting. Plans and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives.
• Conduct exploratory data analysis for testing hypothesis.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed