Asurion
Overview
Asurion is seeking a
Data Scientist II
focused on Compliance, Fraud, and Risk Modeling to join our high-performing Fraud Data Science team. Primary responsibilities are to develop advanced machine learning models, free-form text processing, and analytical solutions to identify and mitigate compliance related issues and fraud across our global ecosystem. You will collaborate closely with cross-functional teams including engineering, product, and fraud operations to ensure our models are effective, scalable, and aligned with business strategy. You’ll bring together core data science expertise with a deep curiosity for uncovering complex fraud patterns—enhancing customer experience while minimizing risk. This role requires a strong foundation in data science along with a sharp intuition for risk, fraud behavior, and business dynamics. It is ideal for someone who thrives in high-impact environments and is motivated to tackle ambiguous problems with innovative technical solutions. Ideal candidates seek to apply machine learning and AI techniques to maximize impact and efficiency. Essential Duties and Responsibilities
Develop and maintain machine learning models (batch and real-time) to detect and prevent fraud in various operational domains Leverage Large Language models/AI including text and voice analytics to detect compliance issues or fraud risks Drive innovation in fraud detection techniques using machine learning, AI, LLMs, and cloud deployment Collaborate with cross-functional teams to understand business problems, gather business requirements, and deliver scalable data/intelligence products Be an expert in the collection, aggregation, and presentation of data from disparate sources through the ability to write complex queries Proactivity is key. Clearly and consistently communicate findings to keep team in the loop and help inform next steps Analyze and interpret the results of product experiments. Tell a story with data through visualization Own the integrity of work and actions; operate with a high degree of autonomy in a direct support relationship to primary customers and meet all requirements with minimal management oversight What You’ll Bring to The Team
Bachelor's degree + 2 years experience OR Master's degree in MIS or Quantitative Disciplines (e.g., Statistics, Computer Science, Operations Research, Business Analytics) Desire to work in a results-oriented, fast-growth environment Intellectual curiosity, passion for problem-solving, and comfort with ambiguity Superior quantitative and analytical skills and a passion for achieving practical business impact Strong interpersonal skills including confidence in dealing with people at all levels of the organization, managing priorities, and presenting insights Proficiency with SQL queries, and PowerPoint required Experience with relational databases and query tools required Experience with Python and data science tools - required Understanding of statistical concepts and experience in applying Machine Learning techniques (LLMs, neural networks, Random Forest, NLP) required 1+ year experience with applying Large Language Models preferred Experience with deploying models in cloud platforms preferred Bonus: Fraud & Risk domain functional expertise, including knowledge of anti-fraud industry leading tools & quantitative models to assess corporate financial risks
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Asurion is seeking a
Data Scientist II
focused on Compliance, Fraud, and Risk Modeling to join our high-performing Fraud Data Science team. Primary responsibilities are to develop advanced machine learning models, free-form text processing, and analytical solutions to identify and mitigate compliance related issues and fraud across our global ecosystem. You will collaborate closely with cross-functional teams including engineering, product, and fraud operations to ensure our models are effective, scalable, and aligned with business strategy. You’ll bring together core data science expertise with a deep curiosity for uncovering complex fraud patterns—enhancing customer experience while minimizing risk. This role requires a strong foundation in data science along with a sharp intuition for risk, fraud behavior, and business dynamics. It is ideal for someone who thrives in high-impact environments and is motivated to tackle ambiguous problems with innovative technical solutions. Ideal candidates seek to apply machine learning and AI techniques to maximize impact and efficiency. Essential Duties and Responsibilities
Develop and maintain machine learning models (batch and real-time) to detect and prevent fraud in various operational domains Leverage Large Language models/AI including text and voice analytics to detect compliance issues or fraud risks Drive innovation in fraud detection techniques using machine learning, AI, LLMs, and cloud deployment Collaborate with cross-functional teams to understand business problems, gather business requirements, and deliver scalable data/intelligence products Be an expert in the collection, aggregation, and presentation of data from disparate sources through the ability to write complex queries Proactivity is key. Clearly and consistently communicate findings to keep team in the loop and help inform next steps Analyze and interpret the results of product experiments. Tell a story with data through visualization Own the integrity of work and actions; operate with a high degree of autonomy in a direct support relationship to primary customers and meet all requirements with minimal management oversight What You’ll Bring to The Team
Bachelor's degree + 2 years experience OR Master's degree in MIS or Quantitative Disciplines (e.g., Statistics, Computer Science, Operations Research, Business Analytics) Desire to work in a results-oriented, fast-growth environment Intellectual curiosity, passion for problem-solving, and comfort with ambiguity Superior quantitative and analytical skills and a passion for achieving practical business impact Strong interpersonal skills including confidence in dealing with people at all levels of the organization, managing priorities, and presenting insights Proficiency with SQL queries, and PowerPoint required Experience with relational databases and query tools required Experience with Python and data science tools - required Understanding of statistical concepts and experience in applying Machine Learning techniques (LLMs, neural networks, Random Forest, NLP) required 1+ year experience with applying Large Language Models preferred Experience with deploying models in cloud platforms preferred Bonus: Fraud & Risk domain functional expertise, including knowledge of anti-fraud industry leading tools & quantitative models to assess corporate financial risks
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