SAIC

Data Ops Engineer Senior

SAIC$120K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Five years of relevant experience in data analytics or data engineering.
  • Proficiency in programming languages such as Python or R, including data science packages like SQL and Pandas.
  • Experience with data visualization tools such as Power BI, Tableau, or Grafana.
  • Familiarity with operating systems such as Windows and Linux (RedHat).
  • Ability to handle and analyze diverse data formats including Excel, CSV, JSON, and XML.

Responsibilities

  • Develop and implement data analytics techniques to transform raw data into actionable insights.
  • Design, train, and deploy AI and ML models to extract insights from various data sources.
  • Ensure compliance with DoD regulations while handling classified data feeds and implementing security protocols.
  • Visualize and report data findings through dynamic reports.
  • Utilize data manipulation tools to convey results effectively to clients.
  • Support web-based collaboration tool development for data reporting.
  • Conduct exploratory data analysis to test hypotheses.

Benefits

  • Work in a dynamic office environment in Honolulu, Hawaii.
  • Opportunity for occasional domestic travel (10% to 25% of the time).
  • Engage with diverse DoD missions that challenge data capability.
  • Work on cutting-edge AI/ML projects.
  • Collaborate with military and defense professionals in a classified environment.
Full Job Description
Job Description

Description

SAIC is seeking an experienced Data Ops Engineer Senior 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
• Five (5) years of relevant experience required
• 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: < 15%
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

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC accepts applications on an ongoing basis and there is no deadline.

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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