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

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