Hybrid Data Scientist

at Asurion

• Job title: Data Scientist
• Job type: Part Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Python, SQL
• Location requirements: Hybrid, United States

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