> Markdown version of [/jobs/ext/526107-data-scientist](https://www.wearedevelopers.com/jobs/ext/526107-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** LTM Inc - **Location:** Edison, NJ, United States - **Experience:** Expert - **Salary:** $88,491.0 - $116,360.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Cyber Security, Python (Programming Language), Performance Testing, IT Architecture, Model Validation, Artificial Intelligence Markup Language (AIML) - **Published:** June 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=95c1e350aa8c0102 ## About the Role Mandatory Skills : AI Research, AI Strategy & Governance, Cybersecurity & AI Laws, Python-Cybersecurity ## Description Senior technical AI governance specialist with strong experience in AI ML and model lifecycle management Model testing and validation Enterprise AI architecture Cybersecurity and risk management Banking and regulatory governance Support functions including Governance forums and operating cadence Regulatory and audit interactions Coordination with model owners and delivery teams Review of model testing and validation outputs Governance documentation evidence management and approvals Daytoday AI governance administration Purpose of the Team This team provides the technical and regulatory depth required to effectively challenge AI design decisions assess and mitigate risk and operate AI governance at scale Key Capabilities Required Program and portfolio management Crossfunctional stakeholder managementa Executive and regulatory communication Process design standardization and documentation Issue risk and escalation management ROI assessment and AI business case evaluation AI architecture and platform literacy Model performance and validation testing Cybersecurity and resilience awareness Regulatory compliance and governance oversight Audit management and evidence preparation Strong analytical and quantitative discipline The need for these capabilities is reinforced by both the staffing demand and recent internal and external audit findings Control Activities Supported by the Team Centralized AI usecase intake and inventory management Risk classification and approval workflows for highrisk use cases Definition and maintenance of RACI standards and governance evidence Coordination of architecture security compliance and risk reviews Execution and oversight of Performance testing Security and resilience testing Adversarial and bias testing Vulnerability and robustness testing Monitoring of KRIs risk indicators and remediation plans Governance forum planning administration and followups Audit and regulatory response management Ongoing oversight of highrisk AI use cases including stop decisions and escalations where required ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [Architectures that we can use with .NET](https://www.wearedevelopers.com/videos/935-architectures-that-we-can-use-with-net) - [Introduction to Responsible AI: Balancing Value and Risk](https://www.wearedevelopers.com/videos/1972-introduction-to-responsible-ai-balancing-value-and-risk) - [Data Privacy in LLMs: Challenges and Best Practices](https://www.wearedevelopers.com/videos/1218-data-privacy-in-llms-challenges-and-best-practices) - [Cyber Security: Small, and Large!](https://www.wearedevelopers.com/videos/259-cyber-security-small-and-large) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)