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ServiceNow

Builds software that automates business workflows

Staff Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePetah Tikva, IsraelNo salary listedHybrid

About the Job

Requirements

  • Experience integrating AI into work processes, decision-making, or problem-solving.
  • At least 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 or neural networks, natural language processing, 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 machine learning frameworks.
  • Experience working with large and complex datasets, developing evaluation methodologies, and defining metrics for machine learning models and data-driven products.
  • Practical experience with modern AI and machine learning techniques, including large language models and/or generative AI.
  • Strong technical leadership, problem-solving, communication, and cross-functional collaboration skills.

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, natural language processing, anomaly detection, and statistical modeling.
  • Partner with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable machine learning solutions.
  • Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and machine learning engineering.
  • Stay current with advances in AI and machine learning and identify opportunities to apply emerging technologies to ServiceNow products.

About the Company

ServiceNow

Builds software that automates business workflows

ServiceNow builds cloud software that helps large organizations manage work across IT, customer service, human resources, and security. Its applications handle tasks such as resolving support tickets, onboarding employees, and responding to customer requests. Businesses configure forms, approval steps, and automation through visual tools on a common platform, connecting existing systems and using AI to assist workers or carry out tasks. The company sells subscriptions to its applications and platform, with professional services helping customers implement and use the software. Founded in 2004, ServiceNow is headquartered in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2004

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