Data Scientist II leveraging advanced statistical methods and machine learning at F5. Join the Data & Insights team to create impactful data products and drive business success.
About the role
- Data Scientist II focusing on Compliance, Fraud, and Risk Modeling at Asurion. Developing machine learning models and collaborating with cross-functional teams to enhance fraud detection.
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
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
- 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
Benefits
- Health insurance
- Flexible work arrangements
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