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Solution Data Scientist (Fraud & AML)

Negotiable Salary

DataVisor

Mountain View, CA, USA

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About Us DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview The Solution Data Scientist (Fraud & AML) will be part of our Professional Service team, reporting to our Chief Solution Architect and VP Professional Services. You will lead various types of technical projects e.g. fraud attack pattern study, risk strategy development, data pipeline and platform configuration, and machine learning model evaluation. Such projects may span both pre-sales and post-sales engagements with DataVisor clients.  You will drive the internal engagement with Customer Success, ML Model, Product and Engineering teams to deliver fraud and AML solutions and custom platform configuration that bring business impacts to our clients and generate revenue for DataVisor. You are a big believer and proficient user of GenAI tools e.g. ChatGPT to perform data analysis tasks 10x more efficiently than before. Key Responsibilities Business Problem Discovery: Discover and understand the client’s business logic and business problems, e.g. risk decision flows, business pain points, fraud patterns, data availability and quality, and expected business outcome.  Data Integration and Quality Check: Lead technical discussions with clients’ risk business teams (Fraud and AML) and data team to ensure high quality and  comprehensive data is provided. Own the data transfers and data quality validation.  Risk Pattern Analyses and Strategies: Leverage your strong domain expertise and business sense to conduct data analyses, pattern analyses, suggest and create detection strategies, and perform strategy testing and iterations.  Solution Design and Configurations: Design and configure various DataVisor solution components e.g. Rules Engine, Decision Flows, Case Management, Knowledge Graph, BI Dashboards to provide tailored results and strong business values to clients.  ML Model Performance Analysis: Work with ML Modeling team to develop, tune, and evaluate fraud detection models (unsupervised and supervised), and conduct performance metrics analysis to guide the threshold selection and decision adoption. Project Management and Documentation: Manage the solution service projects with project management tools e.g. Monday.com, and own the creation and reporting of key internal and external-facing project documents as deliverables.  Presentation and Demonstration: Present the project results and demonstrate the configured solutions to key business stakeholders.   Requirements Experience:  4+ years of experience in Fraud and/or AML strategies or models 2+ years of experience in client-facing data analytic projects Technical Skills:  Domain knowledge in Fraud and AML use cases in financial services industry Proficient in SQL queries with complex joining and layered logics Familiarity with data streaming/processing e.g. REST API, Kafka, SFTP, Hadoop Familiarity with Python, R, and Java is a plus Proficient in LLM tools e.g. ChatGPT to research new business problems Soft Skills:  Excellent communication, presentation, and interpersonal skills Strong problem-solving mindset and results-driven mindset Strong mindset of documentation and automation with AI tools/agents Ability to work collaboratively in a face-paced, team environment and manage multiple projects simultaneously Education:  Bachelor’s degree in a technical or analytical discipline e.g. Data Science, Statistics, Computer Science Benefits Why Join Us? Opportunity to work on impactful projects that protect businesses from risk loss Collaborate with a diverse and talented team of experts in AI and machine learning Enjoy a flexible, supportive work environment with opportunities for professional growth Competitive compensation and benefits package Stock options, Medical insurance, 401K, PTO

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Mountain View, CA, USA
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