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Director of Data Science

We are on a mission to build a world where people can always rely on the machines that matter. Using the Internet of Things (IoT) and Artificial Intelligence (AI) technology, we predict and prevent industrial machine failures, and improve machine performance, so manufacturers can keep the shelves stocked with the essential products we need and use every day.

Augury has acquired Seebo, a leader in AI-based process intelligence, to transform the industry with Production Health. The combination of our Machine Health and Process Health solutions will help customers improve the reliability, quality and sustainability of their operations. With never-before possible insights across machines, processes and overall production, companies can unlock $1 trillion in untapped capacity and transform their relationship with customers, workers, and the environment.

As a Director of Data Science, you will oversee the core area of our product - Machine Health AI.  You will lead Augury’s AI multidisciplinary Data Science team, including talented physicists, DSP, and ML Algorithms and Data Engineers who are responsible for our entire set of creative and strategic AI-enabled components. To achieve our goal, we use our passion, collective brain power, and a rich set of classical and advanced signal processing, machine learning, and deep learning techniques.  

A Day In Your Life:

People Manager:

  • Hire and develop a high-performing team of data scientists to execute our most important initiatives that deliver world-class solutions.
  • Be a thought leader to Squad Managers, enabling them to drive execution and quality.
  • Build culture, trust, and working relationships that enable the team to influence product roadmaps that are driven by the voice of the customer.

Execution and Velocity:

  • Responsible for leading the end-to-end delivery; starting from innovation, experimentation, and development and ending with deployment to production.
  • Lead continuous improvements in process and tools to drive quality and decision-making in the work streams you support.
  • Provide direction and oversight of advanced algo projects.

Product and Technology:

  • Partner and collaborate with AI Fleet Group Product Manager, Engineering, and other stakeholders to understand the industry, business, and technical landscape to shape the future of Machine Health AI.
  • Passionate and tech-savvy in data and data science domains (although the role does not include hands-on work), with the ability to provide business context and translate it for a broad audience to understand.

What You Bring:

  • Scientific degree in EE, CS, or Physics (MSc. or PhD.)
  • Proven track record of leading AI teams and delivering Data Science innovation to production  
  • At least one significant role of managing-managers
  • Experience and strong knowledge in Machine-Learning (mandatory) and DSP (advantage)  
  • Experience in Data processes and best practices in a SaaS environment 
  • High level experience in AI/ML fundamentals


  • Stock options
  • Paid parental leave
  • Flex PTO
  • WFH Stipend
  • Hybrid 4-day work week, every other week

Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees.

Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.

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Director of Data Science