Data Scientist
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. Responsibilities Essential Functions/Job Duties: • Develops and implements data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. • Highly desirable for candidate with 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. • Comfortable working with data in a variety of formats including excel, CSV, JSON, XML • 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. • Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL. • Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar. • Conduct exploratory data analysis for testing hypothesis • Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers • Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance
Requirements
- 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.
- Experience with classified data feeds, ensuring the proper handling of sensitive information to remain compliant with DoD and national security regulations.
- Comfortable working with data in a variety of formats including excel, CSV, JSON, XML
- Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
- Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
- Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers
- Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance
Responsibilities
- Develops and implements data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
- 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.
- Comfortable working with data in a variety of formats including excel, CSV, JSON, XML
- 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.
- Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
- Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
- Conduct exploratory data analysis for testing hypothesis
- Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers
- Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
