Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
Position: Data Scientist - Handwriting Analysis for Fraud Detection
Location: Richardson, TX (Onsite, M-F)
Summary:
We are seeking a highly skilled Data Scientist with expertise in handwriting analysis, particularly in the context of fraudulent checks. The ideal candidate will possess a deep understanding of handwriting patterns, graphology, and machine learning techniques to detect anomalies and patterns indicative of fraudulent activities. This role requires a strong background in data analysis, statistical modeling, and programming skills to develop and deploy advanced algorithms for fraud detection.
Responsibilities:
Qualifications:
Preferred Qualifications:
Join us in our mission to combat fraud and protect the integrity of financial transactions through cutting-edge handwriting analysis and machine learning techniques.