Data Scientist at SAIC

Honolulu, Hawaii, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

0.0

Posted On

17 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data analytics, Python, R, SQL, Machine learning, Artificial intelligence, Natural language processing, Predictive analytics, Power BI, Tableau, Grafana, Kubernetes, Prometheus, Data visualization, Software integration, Data pre-processing

Industry

Defense and Space Manufacturing

Description

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 SAIC® [http://www.saic.com/] is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com [http://www.saic.com/]. For ongoing news, please visit our newsroom [http://www.saic.com/who-we-are/newsroom/].

Responsibilities

Develop and implement data analytics techniques and AI/ML models to transform raw data into actionable insights for DoD missions. Visualize and report findings using various tools while ensuring compliance with security protocols for classified data.