Data Analyst | CyberSecurity

Guadalajara, Mexico
Managed Services – Managed Security Services /
Intern /
On-site
Avertium is seeking a Data Scientist Intern eager to learn and impact our CyberSecurity Organization. The ideal candidate will have applicable course work, and experience with Python and machine learning are ideal.

Responsibilities:

    • Data Collaboration: Assist in gathering, cleaning, and preparing large datasets from various sources, ensuring data integrity.
    • Model Development: Support the development and implementation of machine learning models and algorithms aimed at improving security event detection.
    • Exploratory Data Analysis (EDA): Conduct EDA to help identify trends, patterns, and insights that inform security decisions.
    • Reporting & Visualization: Help prepare data visualizations and reports to effectively communicate findings to stakeholders.
    • Research & Improvement: Explore the latest techniques and tools in data science to contribute ideas for improving existing processes.
    • Data-Driven Solutions: Assist in the development of data-driven solutions to address business challenges and enhance security posture.
    • Collaboration on Reporting: Work with the team to produce analyses that support critical decision-making reports.

Qualifications:

    • Technical Skills: Basic proficiency in data visualization tools; familiarity with Python is a plus.
    • Cloud Computing: Interest in cloud platforms, especially Azure.
    • Eager Learner: Strong willingness to learn and adapt, with a passion for data analysis and its application in security and business decisions.
    • Analytical Mindset: Ability to identify patterns and insights within datasets, at an introductory level.

Preferred Qualifications:

    • Coursework or experience in data science, statistics, or a related field.
    • Exposure to machine learning concepts is a plus.
    • Why Join Us?
    • Gain hands-on experience in data analysis and security analytics.
    • Work alongside seasoned professionals in a collaborative environment.
    • Opportunities for professional growth and skill development.