Responsible for developing, testing and deploying state-of-the-art Machine Learning (ML)/Artificial intelligence (AI) algorithms capable of detecting a wide range of anomalies and failures on the data collected from Fuel Cell Power Plants. This role is focused on problem-resolution and continuous improvement of Doosan’s global power plant fleet, with focus on reliability and capacity, supporting the Service and Sustaining team. Requires effective and ongoing multi-disciplinary collaboration and strong teamwork focus across organizational boundaries to optimize successful issue resolutions. The ideal candidate is skilled at selecting and applying appropriate data science techniques to large data set. The responsibilities include collecting data, cleaning and interpreting data, delivering insights, discovering patterns, and building machine learning models for a variety of cases, as well as communicating the results to a cross-functional team.
Role & Responsibility
Develop, implement, and deploy state-of-the-art machine learning algorithms for real-time analysis and quantification of diverse power plant problems and component failures
Research solutions and select the most suitable algorithms for the problem in question
Utilize a variety of data science technologies and tools, both locally and in the cloud
Learn and understand Fuel Cell Power Plants operation under the supervision of senior Systems team members
Collect, clean and interpret data
Evaluate ML models accuracy and eliminate “false positives”
Interface with Software engineers to integrate ML algorithm software with real time data stream
Present findings and results to Field Services, Sustaining and Software teams, as well as Management
MS degree with 6+ years of experience (PhD, 3+)
Computer Science, Math, Statistics, Electrical Engineering or equivalent technical degree that provides a solid basis for analytics
Advanced coursework in machine learning and programming
Excellent understanding/experience with leading ML / AI methods; XGBoost, deep learning, reinforcement learning, optimization ( Proficient in writing algorithms to perform object/pattern detection/classification tasks, and knowing when to apply them)
Experience with core data science languages (Python and its data science libraries such as Scikit-learn, Pandas, NumPy and Keras; SQL, R, etc.)Programming experience in one or more of the following:
MATLAB, Python, or C++Knowledge of modeling algorithms and techniques:
decision trees, neural networks, clustering, GLM / regression, random forest, NLP, etc.Knowledge/experience of cloud-based data science solutions:
AWS, Azure or GCP
Strong analytical and problem-solving skills with an emphasis on solution design and development
This position requires on-site work with the possibility of remote work.
All personal information will be kept confidential according to EEO guidelines.
Questions can be addressed through the HR department at (860) 727-2019