Specialist, Data Scientist, Automation & AI (Remote)

Employer Industry: Cybersecurity

Why Consider This Job Opportunity

• Opportunity for career advancement and growth within the organization
• Work remotely on Fridays, with a hybrid model requiring three on-site days per week
• Engage in innovative projects leveraging AI and machine learning to enhance cybersecurity
• Collaborate with cross-functional teams, including engineers and data professionals
• Contribute to proactive defense strategies that protect the enterprise at scale

What To Expect (Job Responsibilities)

• Develop models and algorithms to detect anomalies and predict risks in cybersecurity
• Analyze large-scale security telemetry, threat intelligence, and incident data
• Design experiments to evaluate control effectiveness and risk posture
• Collaborate with engineers to integrate models into automation tools
• Communicate insights through dashboards and reports aligned with executive priorities

What Is Required (Qualifications)

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field (Master's preferred)
• Minimum of three (3) years of experience in data science, machine learning, or statistical modeling
• Proficiency in Python and data science libraries (e.g., pandas, scikit-learn)
• Experience with SQL, Spark, or distributed data environments (e.g., Databricks, ADX)
• Strong understanding of supervised and unsupervised learning and anomaly detection

How To Stand Out (Preferred Qualifications)

• Experience in cybersecurity, threat detection, incident response, or risk modeling
• Knowledge of MITRE ATT&CK, CVE/CVSS, and other cyber threat frameworks
• Familiarity with tools like ServiceNow, Sentinel, Defender XDR, or Splunk
• Experience with MLOps, model lifecycle management, or automation frameworks

#Cybersecurity #DataScience #MachineLearning #CareerOpportunity #HybridWorkModel

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