Applied Data Scientist/Engineer

• Participate in developing fraud detection, anti-money laundering, and claim automation products


• Work with structured data, free text, documents, and images


• Implement data engineering from client extracts to insertion into SQL and ElasticSearch data stores


• Develop, test, tune, and productionize models for fraud detection and automation detection in complex environments


• Automate key business tasks in the production process framework using C#


• Conduct client meetings and interact with external stakeholders


• Gather user feedback, present business cases, and define product evolution roadmaps

Requirements

• 2+ years of experience in C# and SQL


• Production-quality, maintainable coding skills


• Degree in machine learning and/or statistics, or clear understanding of statistics and machine learning problems, tasks, and common resolutions


• Comfortable communicating with clients regularly


• Interest in learning and mastering the business aspects of insurance products

Core Competencies

Demonstrates expertise in C# and SQL for developing fraud detection and automation products, with a strong foundation in machine learning and statistics. Capable of engaging with clients and stakeholders to gather feedback and define product roadmaps.

Highest-signal resume keywords

• C# Programming


• SQL Database Management


• Machine Learning Understanding


• Data Engineering


• Client Communication

ATS Optimization Keywords

Hard Skills

• C#


• SQL


• Data Engineering


• Machine Learning


• Statistics


• Model Development


• Automation


• Production Coding


• Data Tuning


• Fraud Detection

Soft Skills

• Client Interaction


• Feedback Gathering


• Presentation Skills


• Stakeholder Engagement


• Learning Agility

Industry Keywords

• Fraud Detection


• Anti-Money Laundering


• Claim Automation


• Insurance Products

Tools & Technologies

• ElasticSearch