Data Scientist in Global Security

Drive complex analytical solutions as a Data Scientist at Global Security. Leverage advanced methods to build statistical models while leading a talented team of analytics professionals.

This advanced role demands strong expertise in PySpark and Bayesian statistics, with a minimum of three years of experience. You will engage in statistical inference and manage junior data scientists, all while overseeing multiple analytics projects. Your critical thinking will directly influence how we tackle intricate and ambiguous problems in data analysis.

Key Responsibilities:

• Tackle ambiguous problems using advanced statistical techniques

• Construct and optimize sophisticated statistical models

• Publish production-level code focused on security requirements

• Guide junior data scientists in their development

• Supervise multiple analytics projects concurrently

Requirements:

• Strong analytical skills with a solid statistical background

• Minimum 3 years of experience in Python, Scala, and Py Spark

• Familiarity with machine learning approaches, especially anomaly detection

• Experience with NLP tools and models is advantageous

• Proficient in Bayesian statistics

Become part of Global Security's mission to derive actionable insights from data.
#J-18808-Ljbffr