We are looking for a Sr. Data Scientist with strong experience in developing and deploying fraud detection models in AWS environments. The ideal candidate will work closely with technical teams and business stakeholders to create end-to-end data science solutions that support Fiserv’s Fraud Operations.
Qualifications
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Graduate or Postgraduate from a reputable institute.
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5+ years of relevant experience in Data Science (4+ years for DS level).
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Strong experience building and deploying fraud or risk models in AWS.
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Good understanding of ML algorithms, statistical methods, and fraud patterns.
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Experience with AWS tools like SageMaker, Docker, and EKS.
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Experience working in Agile teams.
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Work with ML Engineers, Data Engineers, QA, and client teams to build complete ML pipelines.
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Design and develop fraud detection models for digital and card transactions.
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Perform feature engineering, model tuning, and model optimization.
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Collaborate with business teams throughout the project lifecycle.
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Build and maintain ML pipelines for training, evaluation, deployment, and monitoring.
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Deploy and manage models using AWS (SageMaker, Lambda, Step Functions, API Gateway).
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Optimize models for performance, scalability, and cost efficiency.
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Conduct A/B testing and track model performance.
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Reduce false positives/negatives and improve model accuracy.
Regards,
Rekha Reddy | Senior Associate Sales & Recruitment
Email: rekhar@dvgts.com
Mobile: 609 534-2389 EXT: #115
DVG Tech Solutions, LLC d/b/a Digitusverto