Quelle: CrawlJobs
Für dieses Angebot liegt keine vollständige Übersetzung in der gewählten Sprache vor. Unten sehen Sie den Originalinhalt.

Staff Data Scientist

Vollzeit Hybride Arbeit

Veröffentlichungsdatum: 19.09.2026

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

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.

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 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.

Requirements

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.
Beim Arbeitgeber bewerben

Ähnliche Angebote

Alle →

Cookie-Einstellungen

Jeder Zweck ist optional und standardmäßig deaktiviert. Sie können Ihre Einwilligung jederzeit widerrufen.

Wir zeigen Angebote in Ihrer Nähe