Data Scientist 2

Asurion • Nashville, TN

76d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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 This Job Offers

• Career Level: Mid Level
• Industry: Insurance Carriers and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees