Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together.
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.
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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