Senior AI / Machine Learning Data Scientist, ServiceNow

• 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

Desirable

• 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
• 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