Job Description

Technical Expert - AI & Industrial Data Science

Do like solving wicked problems - tough AI problems in the industry and really walk the walk? Do you have a problem-solving mindset - and would like to further strengthen one? We are looking for an energetic (first) and experienced (next) Data Scientist to join our R&D Research Group in Bangalore.

Our Research Group (Advanced Data Management) is part of Data Analytics & Artificial Intelligence Technology Field. Headquartered in Munich, we are a passionate global team of around 240 researchers, data scientists and architects distributed across the globe.

We strive to solve complex problems in various domains ranging from mobility, industry, energy, and buildings to smart cities by applying methods and principles of data analytics and artificial intelligence. We are looking for passionate techies to join us in this exciting journey of finding innovative solutions to some non-trivial industrial problems.

This is your role. What part will you play?

• Build theoretical models as well as build innovative, practical and robust real world solutions for predictive analytics problems in Manufacturing, Process Industries, Oil & Gas..
• You will demonstrate outstanding ability to drive innovation and research in the form of patents and publishing papers at top-tier conferences/journals.
• Extremely energetic and willing to walk the extra mile for achieving targets and be an active AI evangelist within and outside Siemens.

We do not need superheroes, just super minds

• As a successful candidate, you will hold an Advanced degree in Chemical engineering, Mechanical engineering, or computer engineering or other related degree from premier university, with hands-on experience of at least 5+ years in solving complex problems
• An advanced degree in operations research, applied statistics, machine learning, physics, or a related quantitative discipline is an asset.
• Strong background in data science including statistical analysis and modeling, data mining, machine learning, uncertainty analysis, time series forecasting, working with both structured and unstructured data.
• Proven experience in oil & gas and power generation or manufacturing preferred. Experience in large-scale industrial processes (chemical, pharmaceutical, oil & gas refining, manufacturing) in Unit Operations Analysis like Distillation Columns, Heat exchangers would be a bonus.
• Needless to say, solid hands-on experience in training deep networks using frameworks like Tensorflow, Caffe and PyTorch. Strong knowledge of theoretical and practical aspects of linear algebra, probability, calculus.
• Demonstrated outstanding ability to drive innovation and research in the form of patents and publishing papers at top-tier conferences/journals.

Background in either of the following is preferred:

• Basic understanding of Thermodynamics, Mass and Energy Balance
• Experience in one or more Programming languages (Python, Matlab, C++)
• Knowledge on rotating Equipment like Pumps, Motors, Compressors or Turbines
• Process Optimization: LP / MILP, Experience in problem formulation in GAMS/AMPL/Matlab is a plus

Make your mark in our exciting world at Siemens.

We are Siemens. We combine the real and the digital worlds - as a focused technology company. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, we create Technology with Purpose adding real value for customers.

We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need.

Organization: Technology

Company: Siemens Technology and Services Private Limited

Experience Level: Experienced Professional

Full / Part time: Full-time