Staff Data Scientist

As a Staff Data Scientist at ServiceNow, you’ll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, you’ll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data.

What you get to do in this role:

• 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 techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling.
• Partner closely with Product, Engineering, Quality, and Architects to translate 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 advances in AI/ML and identify opportunities to apply emerging technologies to ServiceNow products.

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• 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 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.
• Strong technical leadership, problem-solving, communication, and cross-functional collaboration skills.

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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