SAIC

Data Ops Engineer Principal

SAIC$120K — $145K *
Aerospace & Defense
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in fields like Computer Science or Data Science; relevant Master's or PhD preferred.
  • 9+ years experience in data engineering or related fields; 7+ years with Master's; 4+ years with PhD.
  • Proficient in programming languages such as Python or R; familiarity with data science libraries (e.g., SQL, Pandas, Jupyter notebooks).
  • Experience with data visualization tools like Power BI, Tableau, or Grafana for presenting insights.
  • Comfortable working with diverse data formats (Excel, CSV, JSON, XML).
  • Effective communication and customer service skills for interfacing with clients and team members.
  • Active U.S. citizenship and willingness to obtain a TOP SECRET/SCI clearance.

Responsibilities

  • Develop and implement data analytics techniques to convert raw data into actionable insights.
  • Utilize AI and ML to design, train, test, and deploy models for data-driven decision-making.
  • Ensure compliance with DoD regulations when handling classified data through robust security protocols.
  • Create dynamic data reports to visualize and interpret data findings effectively.
  • Employ various data manipulation tools to enhance the presentation of results to clients.
  • Support the development of web-based tools for data reporting and collaboration.
  • Conduct exploratory analysis to drive hypothesis testing.

Benefits

  • On-site position located in Honolulu, Hawaii.
  • Opportunity to work with U.S. Air Force and engage in meaningful defense-related projects.
  • Involvement in cutting-edge data analytics and AI/ML technologies.
  • Potential for long-distance travel to collaborate with other government and contractor facilities.
Full Job Description
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
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.
• 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

Equipment Used:
• Personal Computer (PC) based systems and project related test equipment.

Typical Working Conditions:
• General office environment; Computer/Equipment lab

Essential Physical Tasks:
• Ability to lift 10 lbs. on an occasional basis. Ability to use a personal computer, keyboard and mouse on a consistent basis. Occasional domestic travel by automobile or airplane is 10% to 25% of the time.

Written Communications:
• 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.

Verbal Communications:
• 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.

Qualifications

TYPICAL EDUCATION AND EXPERIENCE: Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
• 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

Customer Interface Activities:
• Effective inter-personnel and customer service skills required to interface with corporate customers.
• Ability to effectively communicate with the Customer, command staff, and peer contractor personnel.

Project Management / Staff Supervision Tasks:
• Ability to manage and prioritize tasks to ensure optimum productivity.

Work Schedule:
• 40 hours weekly
• The ability to work non-standard work hours and schedules in support of project requirements.
• Long distance (>500 miles) travel to other US Government and Contractor facilities, as required.

Travel: Minimum Education Requirements:
Bachelor of Science required in the following preferred fields; Computer Science, Data Science, EE, ME, IE, Physics, Information Systems or Information Technology

U.S. Citizenship is required
Security Clearance:
Candidates must have U.S. citizenship and an active TOP SECRET/SCI clearance

About SAIC

Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
Learn more about SAIC
Size
26,000 employees
Market Cap
$6 billion
Industry
Net Income
$206 million
Founded
1969
5 Year Trend
+10.7%
Revenue
$6.8 billion
NASDAQ

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