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Senior Data Scientist

ServiceNowPetah TikvaГибридот 6 летПолная занятость
PythonAILLMMachine LearningData ScienceGenerative AIDeep LearningNLPAnomaly Detection

Описание

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.

We offer

  • Full-time
  • Employee Type: Regular
  • Region: EMEA - Europe, Middle East and Africa
  • Work Persona: Flexible