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HealthEquity
HealthEquity

GenAI Data Scientist for Fraud and Security

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Security software
Azure
AI
+26

Visa

U.S. visa required

Permanent role
5 days ago
Apply now

Our Mission

Our mission is to SAVE AND IMPROVE LIVES BY EMPOWERING HEALTHCARE CONSUMERS. Come be part of remarkable.

Overview

How you can make a difference

Join our team as a GenAI Data Scientist and become the architect of our next-generation detection, prevention, and automation strategies and models for enhanced fraud detection and cybersecurity capabilities. This is a game-changing role driving innovation with GenAI , building AI agents that proactively identify and mitigate fraud before it impacts our organization. I nnovate with GenAI by leading the development of advanced tools that summarize complex case dossiers and recommend next steps, while continuously refining models for high precision in detecting cybercriminals. You'll build and deploy cutting-edge AI agents using platforms like Azure and Langchain , creating intelligent systems that can autonomously detect anomalous activities. This position offers a unique opportunity to collaborate and lead cross-functional efforts with internal investigations and law enforcement on synchronized fraud-ring takedown operations, constantly evolving detection patterns through threat intelligence.

What You’ll Be Doing

  • Innovate with GenAI : Lead the development of retrieval-augmented GenAI tools to answer complex queries, auto-summarize case dossiers, and recommend next steps in fraud or security investigations. Continuously refine prompts, vector stores, and retrieval strategies to achieve high precision in detection for cybercriminals and fraudster related activities.
  • Build AI Agents: Design, build, and deploy AI agents that enhance fraud and security operations. Utilize tools like Copilot on Azure and Langchain to create intelligent systems that can detect anomalous activities in a fully autonomous or semi-supervised fashion.
  • Collaborate and Lead: Partner with cross-functional teams, including Internal Investigations and law enforcement, to coordinate fraud-ring takedown operations. Ingest threat intelligence, and post-takedown activities to retrain models and evolve detection patterns.
  • Drive Innovation: Prototype advanced techniques such as graph neural networks and anomaly detection to predict emerging fraud tactics.
  • GenAI Assistant Development: Lead the development of retrieval-augmented LLM tools to answer analyst queries, auto-summarize case dossiers, and recommend next investigative steps. Continuously refine prompts, vector stores, and retrieval strategies for high precision in a fraud context.
  • AI Agent Deployment: Build and deploy AI agents for fraud detection and security using Azure and OpenAI frameworks. Implement Model Context Protocol (MCP) and Agent-to-Agent Protocol for seamless communication between AI agents.
  • Data-Driven Insights: Utilize large datasets to inform fraud detection models and generate actionable insights. Focus on building AI agents without the need for deep expertise in image-based AI models.
  • Cross-Functional Collaboration: Partner with Internal Investigations, FBI, and other law enforcement agencies on evidence gathering and synchronized fraud-ring takedown operations.

What You Will Need To Be Successful

  • Technical Expertise: Proficiency in Python, SQL, and experience with Azure and OpenAI frameworks. Knowledge of Model Context Protocol (MCP) and Agent-to-Agent Protocol.
  • Innovative Mindset: Strong understanding of building and deploying AI agents, with a focus on fraud detection and security applications.
  • Collaboration Skills: Ability to work effectively with cross-functional teams and external partners to achieve common goals.
  • Problem-Solving Skills: Excellent problem-solving skills and attention to detail, with the ability to translate complex analytical results into clear, actionable insights.
  • Education: Ph.D. in Data Science, Computer Science, Applied Math, or related field preferred.

This is a remote position.

Salary Range

$96500.00 To $149,000.00 / year

Benefits & Perks

The actual compensation offer is determined based on job-related knowledge, education, skills, experience, and work location. This position will be eligible for performance-based incentives as part of the total compensation package, in addition to a full range of benefits including:

  • Medical, d ental, and v ision
  • HSA contribution and match
  • Dependent c are FSA match
  • Uncapped p aid t ime o ff
  • Paid p arental l eave
  • 401(k) match
  • Personal and healthcare financial literacy programs
  • Ongoing e ducation & t uition a ssistance
  • Gym and f itness r eimbursement
  • Wellness p rogram incentives

Why work with HealthEquity

Why work with HealthEquity

HealthEquity has a vision that by 2030 we will make HSAs as wide-spread and popular as retirement accounts. We are passionate about providing a solution that allows American families to connect health and wealth . Join us and discover a work experience where the person is valued more than the position. Click here to learn more.

You belong at HealthEquity!

HealthEquity, Inc. is an equal opportunity employer, and we are committed to being an employer where no matter your background or identity – you feel welcome and included. We ensure equal opportunity for all applicants and employees without regard to race, age, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, veteran status, or other legally protected characteristics. HealthEquity is a drug-free workplace. For more information about our EEO policy, or about HealthEquity’s applicant disability accommodation, drug-free-workplace, background check, and E-Verify policies, please visit our Careers page .

HealthEquity uses Microsoft Copilot to transcribe screening interviews between candidates and their direct Talent Partner for note taking and interview summaries. By scheduling a screening interview with us, you consent to Microsoft Copilot’s AI technology recording and transcribing your interview with your Talent Partner. This information will be reviewed for accuracy and then used by HealthEquity to summarize the interview, ensure accuracy, and facilitate our hiring process. We take privacy seriously. You have the option to opt out. If you wish to opt out of this Microsoft Copilot transcription, please notify your Talent Partner in advance of the interview. If we do not receive an opt-out request from you, we will assume that you consent to the use of Microsoft Copilot.

HealthEquity is committed to your privacy as an applicant for employment. For information on our privacy policies and practices, please visit HealthEquity Privacy .

About HealthEquity

👥1001-5000
📍Draper, Utah, United States
🔗Website

HealthEquity Service

HealthEquity product / service
HealthEquity product / service
HealthEquity product / service
HealthEquity product / service
HealthEquity product / service

How does HealthEquity work?

Benefits advisors, health plans, and retirement providers partner with us to help over 13 million members work toward long-term health and financial wellbeing

Company culture

Being remarkable

Exceeding expectations

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