Develop and implement end-to-end ML models for fraud detection and risk mitigation, emphasizing high-precision classification.
Work closely with Cyber Fraud Investigations and Data Engineering teams to establish data science frameworks and embed insights into operational processes.
Create and automate dashboards, feature pipelines, and model scoring outputs in collaboration with various stakeholders.
Required Skills & Qualifications :
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.
Advanced degrees are a plus.
5 years of experience in data science and machine learning.
Demonstrate expertise in ML techniques, SQL, Python / R, and big data frameworks.
Hands-on experience with AI agents and LLMs - Preferred.
Showcase a successful history of leading impactful data science initiatives.
Exhibit strong communication and teamwork abilities.
This role is not suitable for entry-level candidates or interns.
Compensation :
$65.00 to $69.72 per hour.
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Data Scientist • Austin, TX, US
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