Staff Data Scientist

About the role

ServiceNow is hiring a Staff Data Scientist in Petah Tikva for its Data Science organisation. You will partner closely with Development and Product teams across several ITOM products, bringing your own creativity and domain expertise to identify opportunities and solve complex problems with real customer data.

Key responsibilities

• Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis and new AI-powered product features.
• Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization and deployment.
• Develop advanced algorithms and models using machine learning, deep learning, NLP, anomaly detection and statistical modeling.
• Partner with Product, Engineering, Quality and Architects to turn product requirements into scalable, reliable ML solutions.
• Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation and ML engineering.
• Stay current with AI/ML advances and apply emerging technologies to ServiceNow products.

Required profile

• 6+ years of experience in data science, machine learning, algorithm development or a related field.
• Advanced expertise in at least one area such as anomaly detection, machine learning, deep learning/neural networks, NLP or statistical modeling.
• Proven experience leading complex data science or ML problems from ideation to production.
• Experience integrating AI into work processes, decision-making or problem-solving.
• Strong technical leadership, problem-solving, communication and cross-functional collaboration skills.

Required skills

• Strong Python skills and hands-on experience with modern data science and ML frameworks.
• Experience with large and complex datasets, evaluation methodologies and metrics for ML models.
• Practical experience with modern AI/ML techniques, including LLMs and/or generative AI.