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Data Analytics / ML Lead Engineer


Job Id : 5521

Jobtitle : Data Analytics / ML Lead Engineer

Location : Hartford, CT

Company Name : TORQUE TECHNOLOGIES LLC

Industry : Information Technology

Salary : $42,000 - $136,700  YEAR

Job type : Fulltime

Posted on: 2019-10-11


Required Skills : Ml/da, Data Analytics, Modelling Techniques, Data Science And/or Machine Learning, Working On Industrial Scale Problems.

Benefits : No benefits are available


Job Description:

As the Machine Learning & Data Analytics engineer, you will drive the definition of methodology for data analysis and knowledge extraction, serving the needs of an end-to-end model-based Digital Thread. This includes prototyping methods to extract knowledge from models, experiments, manufacturing, as well as service to enable the interconnection of heterogeneous data sources and sinks into a comprehensive whole.

You will need to ensure effective collaboration with the other members of the modeling and methods team, the product demonstration team as well as with the toolchain team.

 

Key job responsibilities:

  • Drive the methodology for data analysis and knowledge extraction to enable a true end-to-end model-based Digital Thread.
  • Define, prototype, and test ML/DA approaches, and advocate for their deployment.
  • Build, maintain, and manage relationships with internal and external stakeholders.
  • Speak inspirationally about the project to internal and external audiences.
  • Conduct regular project reviews.
  • Collaborate effectively with the members of the organization

 

Qualifications & Competencies:

  • Expert knowledge of topics in multiple areas of machine learning and data analytics.
  • Understanding and management of uncertainty and associated probabilistic modelling techniques.
  • Solid understanding of the underlying assumptions and limits of ML/DA methods.
  • Excellent communication skills for effective demonstration of validity of results.
  • Experience with data analytics to drive the optimization of complex systems, such as those found in the aerospace domain.
  • Experience in applying these methods for manufacturing processes and prognostics and health management for service is a plus.
  • Able to extract useful, actionable insights from large, heterogeneous, and noisy data sets.
  • Able to implement data analytics pipelines, both on-premises and in the cloud.
  • Knowledge of architectures for handling large amounts of structured and unstructured data.
  • Experience in data analysis on combination of simulated and experimental results.
  • Experience with text mining is a plus.
  • Experience in analyzing data on complex 3D geometry is a plus.
  • Previous experience in the aerospace domain is a plus
  • Be comfortable with fast-paced, agile but rigorous software development and be able to work effectively in a multidisciplinary, multinational team environment focused on innovation

 

Education & Experience:

  • Required: M.S. in Data Science, Engineering, Mathematics, Statistics, or a related field with a minimum of 7 years of industrial or academic experience (post M.S.).
  • Preferred: Ph.D. in Data Science, Engineering, Mathematics, Statistics, or a related field, with an emphasis on Data Science and/or Machine Learning, working on industrial scale problems.
  • Demonstrated history of success in multiple positions of increasing scope and responsibility, with a significant duration of experience and expertise spanning the full qualifications of this role.

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