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Entry Level Data Security information

What is an entry level data security job?

Entry level data security jobs are roles designed for individuals who are new to the cybersecurity field. These positions typically focus on monitoring network activity, assisting with basic security measures, analyzing security incidents, and supporting more senior cybersecurity staff. Common job titles include Security Analyst, IT Security Technician, and Junior Cybersecurity Specialist. Entry level roles often require foundational knowledge of IT systems, basic security principles, and relevant certifications like CompTIA Security+. These positions provide valuable hands-on experience and are a stepping stone to more advanced cybersecurity careers.

What are some common challenges faced by entry level data security professionals, and how can they be addressed?

Entry-level data security professionals often face challenges such as staying updated with rapidly evolving threats, understanding complex security protocols, and managing large volumes of sensitive information. To address these, it's important to engage in continuous learning through training sessions and industry certifications, actively seek mentorship from experienced team members, and leverage automated tools to streamline routine security tasks. Collaborating closely with IT and compliance teams can also provide valuable insights and help build a strong foundation in best practices.

What are the key skills and qualifications needed to thrive as an entry level data security professional, and why are they important?

To thrive as an Entry Level Data Security professional, you need a foundational understanding of cybersecurity principles, basic networking, and a relevant degree or certification such as CompTIA Security+ or CISSP Associate. Familiarity with security tools like firewalls, antivirus software, SIEM systems, and vulnerability scanners is typically required. Attention to detail, analytical thinking, and strong problem-solving skills help you detect and respond to security threats effectively. These skills are crucial to safeguard organizational data, ensure compliance, and prevent cyberattacks in a rapidly evolving digital landscape.

What is the difference between Entry Level Data Security vs Entry Level Cybersecurity Analyst?

AspectEntry Level Data SecurityEntry Level Cybersecurity Analyst
CertificationsCompTIA Security+, Cisco CCNA SecurityCompTIA Security+, Certified Ethical Hacker (CEH)
Work EnvironmentIT departments, security teams, corporate networksIT security teams, incident response, threat analysis
Industry UsageFinance, healthcare, tech companiesFinancial institutions, government agencies, tech firms

Entry Level Data Security focuses on protecting data assets through policies, access controls, and security measures. Entry Level Cybersecurity Analyst involves monitoring networks, analyzing threats, and responding to security incidents. While both roles require similar certifications and work in related environments, cybersecurity analysts tend to have a broader focus on threat detection and incident response, whereas data security specialists concentrate on safeguarding data integrity and confidentiality.

Entry Level Data Security jobs near you
Infographic showing various Entry Level Data Security job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Entry Level- Data Scientist

San Diego, CA • On-site

JSL Technologies Incorporated
51 - 200 employees
Learn more about JSL Technologies Incorporatedexternal

$65K - $75K/yr

Full-time

Posted 2 days ago

New

Job description

Description

Entry Level- Data Scientist

San Diego, CA

 

About Us:


JSL Technologies, Inc. (JSL) is a certified Small Disadvantaged Business (SDB) and Veteran-Owned government contractor delivering engineering, logistics, and program support services to the Department of Defense (DoD). Our team of more than 200 professionals is dedicated to providing practical, innovative, and cost-effective solutions that support critical missions.

Headquartered in Oxnard, California, JSL supports government customers across the nation. We foster a culture built on integrity, collaboration, and accountability, empowering our employees to perform at a high level and continuously improve the way we serve our customers.

At JSL, our people are the foundation of our success. We offer competitive compensation and a comprehensive benefits package that supports the well-being and professional growth of our team.


Job Description:


JSL Technologies is seeking an entry-level Data Scientist to support Navy engineering and sustainment programs through Python-based data analysis, automation, visualization, and analytical tool development. This position is well suited for a recent college graduate with strong Python programming skills and an interest in applying data science techniques to equipment reliability, maintenance, readiness, and sustainment challenges. Prior Navy, Reliability, Availability, Maintainability, and Cost (RAM-C), logistics, or sustainment experience is not required. The selected candidate will receive exposure to Navy systems, data sources, analytical processes, and reliability terminology while working with experienced engineering and logistics personnel at the Government facility in San Diego, California.

Develop, maintain, and improve Python scripts used to collect, clean, organize, validate, and analyze engineering, maintenance, logistics, readiness, and operational data.

Work with structured and unstructured datasets to identify trends, patterns, anomalies, and data-quality issues.

Automate repetitive data-processing, reporting, and visualization activities using Python and related analytical libraries.

Support the development of dashboards, charts, reports, and other data products used by engineering and program stakeholders.

Apply statistical analysis, machine learning, predictive analytics, or other data-science methods under the guidance of senior technical personnel.

Assist experienced engineers and analysts in evaluating reliability, availability, maintainability, cost, readiness, and sustainment data.

Support senior engineers and analysts in developing and evaluating RAM-C and supportability products, including reliability models, failure analyses, repair-level analyses, sparing analyses, and readiness metrics. Prior experience with these products is not required.

Support the preparation of technical reports, readiness summaries, recurring status reports, and presentation materials.

Document data sources, analytical methods, assumptions, code, and results so analyses are understandable and repeatable.

Collaborate with engineers, logisticians, maintenance personnel, program personnel, and other stakeholders to understand analytical requirements.

Learn and use Government-provided systems and tools, which may include Advana Jupiter, JIRA, Tableau, and Navy maintenance or readiness databases.

Become familiar with RAM-C concepts and analytical products such as Failure Modes, Effects and Criticality Analysis (FMECA), Level of Repair Analysis (LORA), Mean Time Between Failures (MTBF), Mean Time to Repair (MTTR), Mean Logistics Delay Time (MLDT), and sparing analysis through on-the-job training.

Participate in technical meetings and design reviews and provide data-analysis support as assigned.

Requirements

Minimum Qualifications:


Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future.

Ability to obtain and maintain a U.S. Government Secret security clearance.

Bachelor's degree in Data Science, Computer Science, Software Engineering, Computer Engineering, Mathematics, Statistics, Operations Research, Engineering, or a closely related technical discipline.

Academic, internship, research, project, or professional experience developing software or performing data analysis using Python.

Strong understanding of Python programming fundamentals, including data structures, functions, object-oriented programming, debugging, and code documentation.

Experience using common Python data-analysis libraries such as pandas, NumPy, SciPy, scikit-learn, Matplotlib, or comparable libraries.

Ability to clean, transform, analyze, and visualize data from multiple sources.

Basic understanding of statistics, data modeling, machine learning, or predictive analytics.

Ability to communicate analytical results clearly through written reports, visualizations, and presentations.

Ability to learn unfamiliar engineering, reliability, logistics, and Navy terminology.

Ability to work collaboratively with engineers, analysts, logisticians, and Government personnel.

Ability to work on-site at the Government facility in San Diego, CA.


Preferred Qualifications:


Internship, academic, research, or project experience involving Python-based data analysis, automation, machine learning, or predictive modeling.

Experience working with large, incomplete, or inconsistent datasets.

Experience using Git or another version-control platform.

Experience with SQL, relational databases, APIs, cloud-based analytics platforms, or data visualization tools.

Experience with Tableau, Power BI, or comparable visualization tools.

Coursework or project experience related to reliability engineering, maintenance analytics, operations research, logistics, or equipment sustainment.

Familiarity with Department of Defense or Navy programs is beneficial but not required.

Familiarity with JIRA, Advana Jupiter, FMECA, LORA, MTBF, MTTR, MLDT, or availability analysis is beneficial but not required.


Security Clearance:


Applicants must have an active security clearance and/or the ability to obtain and maintain a US Government Security Clearance. Selected candidates will be subject to a government security investigation and must meet eligibility requirements to obtain a DoD Government-granted security clearance. Individuals will be subject to a background investigation to include but not limited to, criminal history, employment and education verification, drug testing, and creditworthiness.


EEO:


JSL Technologies, Inc. is an equal opportunity employer. We provide equal employment opportunities to all qualified applicants and employees without discrimination with regard to race, religion, creed, color, sex, sex stereotype, pregnancy, childbirth or related medical conditions, age, sexual orientation, gender, gender identification and expression, transgender status, transitioning employees, physical or mental disability, medical condition, genetic characteristics, genetic information, marital status, registered domestic partner status, status as military, or as a veteran or as a qualified disabled veteran, ancestry, citizenship, national origin.


To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed must be representative of the knowledge, skills, minimum education, training, licensure, experience, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Please contact HR@jsltechinc.com if you need accommodation for the application process.

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