Data Scientist

Role Summary Specializes in applying knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning, using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.

Key Responsibilities

Responsibilities

• Data Science Research : Conduct research to combat spam, scam, and fraud in mobile telecommunication protocols.
• Global Support : Assist mobile network operators worldwide in identifying, monetizing, and preventing spam and fraud.
• Big Data Analysis : Analyze large volumes of Voice / SMS / MMS traffic.
• Data Processing : Clean and preprocess data, perform exploratory and statistical analysis.
• Machine Learning : Apply machine learning, data mining, and text mining techniques.
• Visualization : Create visualizations and presentations of data findings.
• Fraud Detection : Uncover activities of organized spammers and fraudsters, research new fraud techniques, and design detection algorithms.
• Virus / Malware Prevention : Monitor and prevent virus and malware distribution vectors.

Customer Interaction : Present results to customers and lead discussions on managing fraud attacks

Job Requirements

Core Competencies

Data Analysis Expertise

Technical Skills

Analytical and Problem-Solving Skills

Communication Skills

Customer Interaction : Ability to present results to customers and lead discussions on managing fraud attacks