Data Science Engineer

Job Title: Data Science Engineer Category: Information Technology Location: Austin, Texas, USA Duration: 12 months Hours: 40 hours per week (8 hours per day, Monday to Friday) Pay Rate: Up to $69.72 USD/hour Employment Type: Contractor (W2 only, No H-1B / No sub-contracting) Role Purpose The Data Science Engineer will develop and implement end-to-end machine learning models focused on fraud detection and risk mitigation. This role requires collaboration across Data Engineering and Cyber Fraud Investigation teams to design scalable frameworks and integrate advanced analytics into operational processes. Key Responsibilities • Develop and deploy end-to-end ML models to detect fraud and mitigate risk with high precision. • Collaborate with Cyber Fraud Investigations and Data Engineering teams to design and implement data science frameworks. • Create, automate, and maintain dashboards, feature pipelines, and model scoring outputs. • Embed actionable insights into operational processes to enhance decision-making. • Continuously evaluate and optimize model performance to ensure scalability and accuracy. Required Skills & Experience • 5+ years of professional experience in Data Science and Machine Learning. • Strong knowledge of ML techniques, SQL, Python or R, and big data frameworks (e.g., Spark, Hadoop). • Experience developing and deploying models in production environments. • Demonstrated ability to lead impactful data science initiatives from concept to delivery. • Excellent communication, problem-solving, and teamwork skills. Preferred Qualifications • Hands-on experience with AI Agents and Large Language Models (LLMs). • Master’s or higher degree in Statistics, Mathematics, Computer Science, or related field. Education • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field. • Advanced degrees are a plus.