Data Scientist
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Job Description
Senior Data Scientist at Quavo leading design and implementation of fraud detection models. Driving AI & ML initiatives and mentoring junior team members in a collaborative environment.
Responsibilities:
- Drive the roadmap for internal AI & ML initiatives, aligning with business objectives and regulatory requirements.
- Serve as a subject matter expert on fraud analytics, advising leadership on emerging threats and mitigation strategies.
- Architect and deploy cutting-edge machine learning and AI models to maximize fraud recovery, behavioral analysis, and predictive fraud prevention.
- Optimize models for scalability, real-time performance, and minimal false positives.
- Identify new data sources and develop advanced feature engineering techniques to enhance fraud detection capabilities.
- Lead research into novel algorithms, including graph analytics and deep learning approaches.
- Partner with Legal, Leadership, and Engineering teams to integrate solutions into enterprise systems.
- Communicate complex technical concepts to non-technical stakeholders and influence decision-making.
- Guide and mentor junior data scientists, fostering a culture of innovation and continuous learning.
- Ensure models adhere to regulatory standards (OCC, PCI DSS) and ethical AI practices.
Requirements:
- 7+ years of experience in data science, with at least 3 years focused on fraud detection or financial risk analytics.
- Expertise in machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and advanced statistical modeling.
- Strong proficiency in Python, SQL, and Snowflake.
- Deep understanding of financial systems, payment networks, and fraud typologies.
- Experience deploying models in production environments and working with real-time streaming platforms.
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