At
Trane Technologies® we Challenge Possible. Our brands – including
Trane® and
Thermo King® - create access to cooling and comfort in buildings and homes, transport and protect food and perishables, connect customers to elevated performance with less environmental impact, dramatically reduce energy demands and carbon emissions, and innovate with a better world in mind. We boldly challenge what’s possible for a sustainable world.
Job Summary： The successful Candidate will transform data driven outcomes into fully scalable and optimised solutions for always-on production environments.
Responsibilities:
- Responsible for the data pipeline architechture and its operation
- Discover and implement new process improvements and automation methods to optimise workflow for development and deployment
Qualifications:
- Degree/Masters in Data Science, Mathermatics, Physics
- Strong Alalytical skills relating to unstructures data sets
- Strong experience modelling machine behavioural data
- Proficient with machine learing techniques
- Experience with a wide variety of statistical languages and data mining tools
- Breath and depth of knowledge in statistical computing languages and tools, conventional langiuages (Java, C, ython, SQL)
- Hands on experience with cloud based architectures and softwate stacks
- Deep understanding of large always-on enterprise system architecture
- Algorithim optimisation proficiency
We offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives. We are proud of our winning culture which is inclusive and respectful at its core. We share passion for serving customers, caring for others, and boldly challenging what’s possible for a sustainable world.
We are committed to achieving workforce diversity reflective of our communities. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
