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