Data Scientist Level V: AI and Security Expert

Qualifications

• We are seeking an expert with experience in building client models, particularly in security data and fraud detection
• The ideal candidate will have a strong background in Python programming, Hadoop, and experience working with streaming data
• A good understanding of statistical probability distributions, bias, error, and power, as well as sampling and resampling methods, is also essential
• Leverage data to inform strategic directions of safety signal development, aid in incident response, automate detection and enforcement, and provide intelligence on ecosystems
• Analyze and tell stories of security, audit, and network data, and understand the context of monitor systems and threat detection

Responsibilities

• Develop and maintain client/stats models through the full model development lifespan
• Experience with scientific computing languages and big data knowledge, including Python, SQL, Hive, Hadoop, Spark, etc
• Expertise in the manipulation, integration, processing, and interrogation of large datasets
• Maintain data quality and support data access
• Operationalize and evolve threat detection metrics that measure the impact of our targeted enforcement

Full Description

A senior data scientist or machine learning engineer is required to join our team at ACL Digital. We are seeking an expert with experience in building client models, particularly in security data and fraud detection.

The ideal candidate will have a strong background in Python programming, Hadoop, and experience working with streaming data. A good understanding of statistical probability distributions, bias, error, and power, as well as sampling and resampling methods, is also essential.

Day-to-Day Responsibilities:

• Develop and maintain client/stats models through the full model development lifespan
• Experience with scientific computing languages and big data knowledge, including Python, SQL, Hive, Hadoop, Spark, etc.
• Expertise in the manipulation, integration, processing, and interrogation of large datasets
• Maintain data quality and support data access

Better to Have or Willing to Learn:

• Leverage data to inform strategic directions of safety signal development, aid in incident response, automate detection and enforcement, and provide intelligence on ecosystems
• Operationalize and evolve threat detection metrics that measure the impact of our targeted enforcement
• Analyze and tell stories of security, audit, and network data, and understand the context of monitor systems and threat detection