Entry Level Cyber Security Data Scientist information
See Riverside, CA salary details
$66.7K - $85.5K
2% of jobs
$85.5K - $104.2K
4% of jobs
$104.2K - $122.9K
9% of jobs
$138.8K is the 25th percentile. Wages below this are outliers.
$122.9K - $141.6K
11% of jobs
$141.6K - $160.4K
7% of jobs
The median wage is $166.4K / yr.
$160.4K - $179.1K
50% of jobs
$179.1K - $197.8K
2% of jobs
$197.8K - $216.6K
1% of jobs
$216.6K - $235.3K
0% of jobs
$235.3K - $254K
13% of jobs
How much do entry level cyber security data scientist jobs pay per year?
As of Aug 16, 2026, the average yearly pay for entry level cyber security data scientist in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.
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.
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.
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.
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