#20687-OTHLOC-100004137493669
and management of data on the edge, where OT happens, versus traditional infrastructure.
12-week plan:
Provide a developmental plan of predictive analytics for OT devices through data ingested by the OT software. The analytics should provide a way of identifying potential problems with the environment or equipment minimizing issues
Create customized reporting from data collected from the OT software tool and provide a way to automate/schedule reporting
Collaborate with ServiceNow to ensure data ingestion is migrating into ServiceNow accurately. Resolve all discrepancies
Represent OT Management on various enterprise governance boards, as needed for assuring requirements are addressed in updates to existing enterprise environment, policies/standards, and projects
The Summer Associate Program is a 12-week internship program beginning in May 2025 and ending in August 2025. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2025 or later.
Responsibilities
The skills an OT data analyst/scientist must have: All data analyst/scientists should be well-versed in machine learning and deep learning, but OT data analyst/scientists also require different skills from traditional data scientists.
Identifies relevant data sets needed for data analytic applications
Works with others to collect, integrate and prepare data for analysis
Develops and runs analytical models and assess the findings
Communicates the results to business owners, users and others as needed
Preprocessing of data: Data doesn't flow out of OT in tidy, well-formatted records, as it does in conventional systems. OT data is often sparse or incomplete, subject to the whims of the environment and the state of the machine producing it and it varies under changing conditions. The data is frequently temporal and time sensitive. OT data analyst/scientists can apply deep learning to spot conditional shifts in data patterns, make predictive assessments of data quality and fill in the gaps as needed.
Qualifications
Experience: Total Professional Experience 5+ years of which Information Technology Experience is 3+ years and at least 1 year OT/IoT Experience
Currently pursuing a graduate degree in Computer Science, Management Information Systems, Artificial Intelligence, Computer Engineering, or Software Engineering
Business Soft Skills:
Excellent communication skills
Self-starter / self-directed
Understanding of general Information Technology concepts
Experience with business process definition and optimization
Strong analytical skills with experience creating reports and analyses
High level proficiency with Microsoft Office
Technical Skills Preferred (as many of the following):
Experienced in the Fundamentals of Data Science
Experience with Statistical Analysis
Experience with Machine Learning and Big Data
Experience with Data Visualization
Experience programming with both scripting languages and 3GLs, such as C / C++, Java, C#, Python, etc....
Experience with Data Manipulation and Analysis
Experience with process management and process automation tools
Experience with SQL, Reporting and Analytic tools
Experience with Infrastructure Management and Operations Management
Understanding of ITIL and other control frameworks
Understanding of and experience with ServiceNow - ITBM / SM / CM / PM / IM / CMDB / RM
Understanding of Waterfall / Agile / DevOps / Site Reliability Engineering (SRE) approach to software development
Understanding of Software Development Lifecycle (SDLC) approaches
About Us
Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.
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Equal Employment Opportunity: Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability EOE/AA/M/F/Veteran/Disability
Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.
Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position
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