Asurion
As the world’s leading tech-care company, Asurion eliminates the fears and frustrations associated with technology to ensure our 300 million customers get the most out of their devices, appliances, and connections. Whether we’re creating protection plans to cover every device and appliance, performing on-the-spot repairs and same-day replacements, or providing support and solutions for our experts and apps - our aim is to be delightfully simple, remarkably human, and actually helpful. Why? Because we care for people and their tech - whenever, wherever, however.
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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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
#J-18808-Ljbffr