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ServiceNow is seeking a Senior Staff Data Scientist to lead the development and evolution of advanced data science and machine learning capabilities within their AI control tower platform. In this role, you will own complex data science problems end-to-end—from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment.
Key responsibilities include:
- Leading development of advanced ML/AI capabilities including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features
- Developing advanced algorithms and models using machine learning, deep learning, NLP, anomaly detection, and statistical modeling techniques
- Partnering closely with Product, Engineering, Quality, and Architecture teams to translate requirements into scalable, reliable ML solutions
- Driving technical direction and mentoring other data scientists, establishing best practices in modeling, experimentation, evaluation, and ML engineering
- Staying current with AI/ML advances and identifying opportunities to apply emerging technologies to ServiceNow products
ServiceNow is the AI control tower for business reinvention, helping 85% of the Fortune 500 work smarter, faster, and better. The company is building an AI-native culture where technology and talent drive transformation.
REQUIREMENTS:
- 6–8+ years of experience in data science, machine learning, algorithm development, or related field
- Advanced expertise in at least one area: anomaly detection, machine learning, deep learning/neural networks, NLP, or statistical modeling
- Proven experience leading complex data science or machine learning problems from ideation to production
- Strong Python skills and hands-on experience with modern data science and ML frameworks
- Experience working with large and complex datasets, developing evaluation methodologies, and defining metrics for ML models and data-driven products
- Practical experience with modern AI/ML techniques, including LLMs and/or generative AI
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
- Strong technical leadership, problem-solving, communication, and cross-functional collaboration skills
