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Entry Level Cyber Security Data Scientist Jobs (NOW HIRING)

Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts. Data ...

Preferred : • Cybersecurity data science experience (strong preference), including exposure to ... threat modeling, adversarial dynamics, abuse patterns, or security telemetry. • Trust & Safety ...

Developed solutions are actively being productionized to support ongoing cybersecurity initiatives ... data science experience may also be considered. * 2+ years professional experience with an open ...

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Developed solutions are actively being productionized to support ongoing cybersecurity initiatives ... data science experience may also be considered. * 2+ years professional experience with an open ...

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Data Scientist

Tampa, FL · On-site

$35 - $42/hr

We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions. Entry-Level Data ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. Who Should Apply: Recent computer science/engineering ...

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. Who Should Apply: Recent computer science/engineering ...

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... You'll get a chance to work with elite cybersecurity professionals and university faculty to build ...

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Entry Level Cyber Security Data Scientist information

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$46K

$165K

$243.5K

How much do entry level cyber security data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level cyber security data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Cyber Security Data Scientist, and why are they important?

To thrive as an Entry Level Cyber Security Data Scientist, you need foundational knowledge in data analysis, statistics, cybersecurity concepts, and a degree in computer science, data science, or a related field. Familiarity with programming languages like Python or R, experience with machine learning libraries, and understanding of cybersecurity tools such as SIEM systems are typically required. Strong problem-solving, attention to detail, and effective communication skills help you interpret data insights and collaborate with security teams. These competencies are vital for detecting threats, analyzing security data, and supporting informed cybersecurity decision-making.

What types of projects and tasks can an Entry Level Cyber Security Data Scientist expect to work on during their first year?

As an Entry Level Cyber Security Data Scientist, you can expect to work on a variety of projects such as analyzing network traffic logs for anomalies, building and validating machine learning models to detect threats, and assisting in the automation of security alerts. You'll often collaborate with security analysts and IT professionals to interpret data findings and contribute to incident response efforts. Early in your role, you'll likely focus on data preprocessing, feature engineering, and supporting more senior data scientists, which provides a great foundation for growth and deeper technical responsibilities over time.

What does an Entry Level Cyber Security Data Scientist do?

An Entry Level Cyber Security Data Scientist is responsible for analyzing large datasets related to security events, network activity, and potential threats. They use statistical and machine learning techniques to detect anomalies, identify vulnerabilities, and help prevent cyber attacks. Their work supports security teams by providing actionable insights and automating some aspects of threat detection. Typically, they collaborate with other IT professionals to improve an organization’s overall security posture.
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Infographic showing various Entry Level Cyber Security Data Scientist job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 96% Full Time, and 2% Nights. Highlights an 98% Physical, and 2% Hybrid job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

VTG

Chantilly, VA • On-site

Full-time

Posted 20 days ago


Job description

Overview
VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position is contingent upon program award)
What will you do?
A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts. Data scientists must be comfortable with regularly interacting with the customer/warfighter to receive feedback and guide future work and be confident to present information to decision makers. The impact an experienced data scientist can have on an organization is immense including automating manual processes, predicting future trends, and detecting anomalies. Data Scientist experience level descriptions and qualifications are listed below.
Data Scientist, Level 2 (Intermediate) Functional Description: In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management. May use machine learning and statistical approaches based on the analysis of the dataset. May prepare visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct and/or support data engineering and data management. May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e.g., tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science techniques for cybersecurity solutions. May adjust and create machine learning and statistical approaches based on the analysis of the dataset. May analyze visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches.
Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in Level 2, the Data Scientist Level 3 is responsible for overseeing data science techniques for cybersecurity solutions. May lead teams to extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management. May advise machine learning and statistical approaches based on the analysis of the dataset. May present visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May spearhead data engineering and data management. May advise appropriate analytical approaches towards automation. Establishes requirements for data science cybersecurity approaches.
Do you have what it takes?
Requirements:
All positions require: TS/SCI with Poly
Level 2 Data Scientist:
  • Data Scientist Level 2 Qualifications: Bachelor's degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist:
  • Data Scientist Level 3 Qualifications: Bachelor's degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies