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Sr Data Scientist – Advanced Process Control

Sr Data Scientist – Advanced Process Control

CompanyAspenTech
LocationHouston, TX, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesMaster’s, PhD
Experience LevelSenior

Requirements

  • Master’s in computer science, Engineering, Operation Research, or a related major; PhD preferred.
  • Deep knowledge in advanced process control.
  • 5+ years of experience in data analytics and software development/programming with one or more of Python, Julia, Matlab, C++/C and C#.
  • Experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing).
  • Demonstrated ability to use scientific research to deliver value to customers.
  • Problem-solving ability and attention to details.
  • Excellent interpersonal, communication, writing, and presentation skills.
  • Demonstrated ability to convey complex information in a clear and concise manner.

Responsibilities

  • Provide technical contribution and collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the supply chain and manufacturing industries.
  • Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Production Automation and Value Chain Optimization offerings.
  • Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications.
  • Provide thought leadership and represent AspenTech at industry and academic meetings and conferences.

Preferred Qualifications

  • Knowledge of operations research, chemical/manufacturing supply chain management.
  • Knowledge in non-linear programming, optimization, multivariate analysis.
  • History of publishing research and innovation outcomes in the ML field.
  • Familiarity with LLM, generative AI, ML-Ops, Graph Knowledge, and cloud technologies.