Developing models and algorithms/analytics within assigned projects taking care of the technical standpoint, using sound engineering principles, and adhering to business standards, practices, procedures, and product/program requirements.
Ensuring the use of state-of-the-art methodologies to carry out the job in the most productive and effective way. This may include research activities to identify and introduce new technologies in the field of data acquisition and data analysis
Attending conferences and collaborating in patent filing.
Preparing all relevant technical documentation related to the development phase always consistent with engineering policies and procedures
Working in a cross-functional environment in alignment with Customer and business/product needs and with Global Digital Strategy.
Ensuring alignment of solutions with the latest product requirements and digital trends promoting Artificial intelligence adoption.
Working in a worldwide agile environment.
Requirements & Skills:
Have an Engineering degree in Mechanical/Electrical/Chemical/Aerospace specialization.
Have 5-12 years of experience as a Data Scientist
Have experience in time series, Python, ML, DS, prescriptive analytics, etc.
Have exposure working in the Oil & Gas/Energy/Petrochemical/Aviation domain.
Have a good knowledge of digital trends, Industry 4.0 topics, Artificial intelligence, Data Acquisition Systems, and signal processing.
Have a good knowledge of Thermodynamic and/or Rotordynamic (turbomachinery specific) supported by practical experience
Have clear thinking: Make decisions with speed and accuracy based on the best available information etc.
