Full-Time Senior AI/ML Data Scientist

The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact  

What you get to do in this role: 

• Understand the Security data landscape and work with stakeholders to identify key use-cases for AI.  
• Research, design, and apply advanced ML algorithms in Snowflake using large-scale datasets, including techniques such as reinforcement learning, deep learning, tree-based methods, gradient boosting, and generative AI models. 
• Own ML Ops and deploy machine learning models into production systems, ensuring scalability and seamless integration. 
• Learn and discover key opportunities for AI use of the ServiceNow platform for our security organization.  
• Collaborate with cross-functional teams to expand our AI usage on the ServiceNow platform. 

To be successful in this role you have:   

• Strong understanding working with and understanding of the ML/AI tools.  
• High levels of curiosity and eager enthusiasm for open-ended problems. 
• Experience and interest in problem formulation based on relatively abstract information. 
• 3-5 years of experience applying machine learning on large-scale datasets and in pre-processing and analyses of data. 
• 1-2 years of experience working with LLMs on real-world use cases, including exposure to developer tools like Streamlit 
• A firm understanding of the basic classes of ML algorithms and their underlying assumptions, including statistics and linear algebra. 
• Familiarity with XG Boost, NLP, RAG Model 
• The ability to break complex problems down into sizable pieces and work towards them. 
• Technical expertise in one or more of the following topics: Anomaly Detection, Clustering, Time-Series Analysis & Forecasting, Natural Language Processing, Uncertainty Quantification. 
• Domain knowledge and experience in the application of ML to one of the following areas: Security, Sales, Product 
• Expert-level knowledge working with libraries such as scikit-learn, pandas, SQL, etc. 
• Demonstrate keen senses of ownership, collaboration, and mentorship. 
• Outstanding presentation skills to articulate results and complex concepts to all audiences and collaborate and influence leadership. 
• Demonstrate leadership, with the ability to inspire the team and lead a project to completion. 

Nice to Have 

• Experience developing on or using the ServiceNow platform especially it’s AI use-cases 
• Experience building a chatbot from data from documents particularly with RAG 
• Professional experience developing and building dashboards on Power BI 
• Experience working with SnowFlake