Data Ops Engineer Principal - AI/ML & Visualization Lead

SAIC; Nevada (IA); On-site; USD 120,000 - 160,000; Full time

Job summary

SAIC is seeking an experienced Data Ops Engineer Principal 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 include developing data analytics techniques, applying AI/ML, handling classified data, and delivering data reports and web-based collaboration tools to stakeholders. Strong programming, visualization skills, and DoD data handling experience are essential.

Qualifications

• Proficiency with programming languages such as Python or R and using packages commonly used in data science applications or advanced analytics such as SQL, Pandas, or Jupyter notebooks.
• Power BI, Tableau, Grafana or other toolsets to visualize data and share insights with senior decision makers
• Operating Systems Windows, Linux (RedHat)
• Comfortable working with data in a variety of formats including excel, CSV, JSON, XML
• U.S. Citizenship is required

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.
• Visualizes, interprets, and reports data findings in dynamic data reports.
• Supports the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting.
• Conduct exploratory data analysis for testing hypothesis

Skills

Python

R

SQL

Pandas

Jupyter notebooks

Education

Bachelor’s degree in Computer Science, Data Science, EE, ME, IE, Physics, Information Systems or Information Technology

U.S. Citizenship

Tools

Power BI

Tableau

Grafana

Job description

SAIC is seeking an experienced Data Ops Engineer Principal 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 include developing data analytics techniques, applying AI/ML, handling classified data, and delivering data reports and web-based collaboration tools to stakeholders. Strong programming, visualization skills, and DoD data handling experience are essential.