Lead Data Scientist
4 weeks ago
ResMed is seeking a highly skilled Lead Data Scientist to join our Data Science and AI/ML team. As a key member of our team, you will be responsible for developing model-based solutions in multiple areas of business interest using the latest technologies in machine learning and cloud computing.
Responsibilities:- Research and develop statistical and machine learning algorithms to meet complex product requirements.
- Lead, guide, and mentor a small and highly skilled team of Data Scientists.
- Work closely with other stakeholders from Product Management, Engineering, and other business stakeholders to create impactful, intelligent features and products.
- Collaborate closely with other team members including other Data Scientists, Machine Learning Engineers, and Data Engineers and "own" the end-to-end process.
- Operate with wide authority to develop creative model-based solutions while maintaining high quality and accountability standards.
- Document the model design, experiments, tests, validations, and live metrics and outcomes.
- Rigorous academic and/or experiential knowledge of the mathematical essentials for Data Science, including key concepts in probability and statistics, optimization, time series analysis, linear algebra, and discrete math.
- Deep grounding in machine learning techniques including regression methods, classification, clustering, and unsupervised learning.
- Solid foundation with development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models.
- Technical experience in building intelligent data products, prediction models, and recommendation engines using ML/AI.
- Proficient with server-side programming in Python/Java.
- Hands-on experience in handling large and distributed datasets on Spark, Hive, etc.
- Strong database skills and experience, including experience with SQL programming.
- Experience with AWS or other cloud-based tools and technologies for ML/AI model development and deployment.
- 6+ years' industry or academic experience in data science.
- Post-graduate research experience (PhD or equivalent research beyond Masters) in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics.
- The opportunity to build something meaningful and see a direct positive impact on people's lives.
- A supportive environment that focuses on people development and best practices.
- Opportunity to design, influence, and be innovative.
- Work with global teams and share new ideas.
- Be supported both inside and outside of the work environment.
At ResMed, we focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thriving on the innovative ideas this generates. If this sounds like the workplace for you, apply now. We commit to responding to every applicant.
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