Director, Data Science

15 hours ago

Haifa, Haifa, Israel Augury Full time ₪120,000 - ₪180,000 per year

We are seeking a Director, Data Science to oversee a multidisciplinary group of Data Scientists, owning the end-to-end lifecycle from research to production deployment. You will solve real-world problems and have a direct impact on innovating Augury's core technology. You will be at the forefront of technology, utilizing advanced machine learning approaches and the latest big-data technologies with a unique dataset. 

You will combine deep technical expertise with strong leadership, guiding the development of cutting-edge ML/DL models while ensuring alignment with business goals. This is both a strategic and hands-on role, where you will inspire, mentor, and scale a high-impact data science team.

What You'll Do

  • Lead, grow, and mentor a multidisciplinary team of Data Scientists.
  • Define the strategic roadmap to ensure alignment with product and business priorities.
  • Drive innovation by researching, prototyping, and deploying advanced ML/DL models into production.
  • Foster a culture of experimentation, technical excellence, and collaboration across product and engineering teams.
  • Translate complex technical concepts into actionable insights for executives, customers, and cross-functional partners.
  • Ensure scalable, production-ready AI solutions by overseeing the full model lifecycle, data ingestion, feature engineering, model training, validation, deployment, and monitoring.
  • Establish best practices for Data Science in a SaaS environment, including experimentation frameworks and model governance.

What You Bring

  • M.Sc./Ph.D. degree in electrical engineering, computer science, physics, mathematics, statistics or relevant engineering discipline. 
  • 7+ years of hands-on experience as a Data Scientist, delivering models into production.
  • 4+ years of proven leadership managing Data Science teams, ideally in a SaaS or technology company.
  • Strong expertise in Machine Learning and Deep Learning; time series modelling or RNN is a plus.
  • Experience working with large-scale datasets and modern ML frameworks.
  • Experience in sampling, sensing, signal processing, and physics is a strong advantage.
  • Demonstrated ability to connect technical solutions to business outcomes and communicate effectively across all levels of the organization.
  • Proven capabilities in leading multidisciplinary research. 
  • A track record of scaling teams, systems, and processes in a high-growth environment.

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