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Lead Engineer Data Science
Provide technical leadership for the technology development for technologists
Collaborate with global experts, external partners and extended teams to enable technology development
Lead the development of advanced technology projects, co-ordinate with globally diverse cross-functional project teams effectively and deliver technology solution
Provide hands-on solutions on critical projects; provide technical mentoring on complex projects involving multiple components or systems for completeness and compatibility with customer objectives and standards
Identify, evaluate and transfer leading technologies that pertain to existing, as well as, potentially new product lines.• Identifies unique opportunities to develop new solution offering for Eaton business.
• Designs new processes and builds large, complex data sets.
• Strategizes new uses for data and its interaction with data design.
• Locates new data sources, analyzes statistics and implements quality procedures.
• Performs data studies of new and diverse data sources.
• Finds new uses for existing data sources.
• Conducts statistical modeling and experiment design.
• Derives insights from the data and presents them to other scientists and business managers.
• Tests and validates predictive models.
• Builds digital twins and performs data visualization.
• Conducts scalable data research on and off line.
• Implements automated processes for efficiently producing scale models.
• Designs, modifies and builds new data processes.
• Generates algorithms and creates models.
• Collaborates with database engineers and other scientists.
• Implements new or enhanced solutions designed to access and handle data more efficiently.
Participate in internal forums like CoP / CoI and represent in external forums & professional bodies developing & motivating, coaching,
Master’s Degree Or Ph.D. in Mechanical / Electrical / Systems / Controls Engineering / Computer science / statistics or equivalent technical field from accredited institutions.
7+ years of engineering/technology development experience in relevant domain for the data science technologies focused on intelligent products, systems and services.
Within innovation or research and technology organizations from major MNCs and/or Overseas experience (e.g. Degrees, exchange research program) highly desirable.
Proven track record of delivering technology concepts through to commercialization is desired.
Proven track record of being able to formulate, articulate, promote and execute cohesive advance technology solutions development.
Demonstrated track record working from customer requirements through systems architecture concepts through to a multi-generation product plan.
Demonstrated excellence in theoretical and applied methods of machine learning and sensor fusion with significant experience with both physics-based and data-driven modeling and simulation techniques.
Possess strong business acumen and the ability to understand and formulate compelling value propositions and to understand and drive through value and adoption chain.
Proven track record for IP generation and publications in reputable peer-reviewed journals is desired.
Experience in building production grade machine learning and data fusion enabled solutions end to end is a plus. Hands on experience with common machine learning tools (Weka, R, RapidMiner and etc.) and experience with AWS Or Azure is a plus.
Ability to apply Design for Six Sigma methodologies including QFD, DoE and reliability engineering in the course of their work. Green belt certification in DFSS or DMAIC is highly desired.
Experience in leading projects with multiple stakeholders in matrix organization and strong project management experience is required.
Working experience with decision algorithms, statistical classification methodologies, sensing, data aggregation, information fusion and optimization methodologies. Working experience especially in the context of model-based and hardware-in-loop control algorithm and software development processes will be added advantage.
Ideal candidate will also have deep understanding of advanced controls methods in complex industrial systems with both dynamical and finite states.
Eaton is a power management company with 2016 sales of $19.7 billion. We provide energy-efficient solutions that help our customers effectively manage electrical, hydraulic and mechanical power more efficiently, safely and sustainably. Eaton is dedicated to improving the quality of life and the environment through the use of power management technologies and services. Eaton has approximately 95,000 employees and sells products to customers in more than 175 countries. For more information, visit Eaton.com. At Eaton we see things differently. We see opportunities to innovate, go above and beyond, and we work hard because what we do reflects who we are. If you see things differently – if you’re determined, motivated and focused on improving the world around you – then it’s time to see where a career at Eaton can take you. For more information visit www. Eaton.com/careers.
Region: Asia Pacific
Organization: INNOV Innovation Center
Job Level: Individual Contributor
Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: No
Does this position offer relocation?: No
Travel: Yes, 10 % of the Time