TD Williamson

Data Scientist

Job information


Industrial Engineering

Job Type

Full Time


3-5 years min.



Degree Type

Bachelor, Master

Degree Specialization

Computer HW / SW engineer, Electrical engineer


 Develop and support customer-driven data solutions for new pipeline technology through close interaction with engineering, analysis, field services, sales, and customers; including the creation of advanced data analysis techniques, model development, and data curation.


  • Signal Processing – turning time/distance indexed sensor data into automation and sizing
  • Analytical Modeling/Regression – familiarity with non-Machine Learning based modeling to predict outcomes based on available features
  • Machine Learning models for detection/classification
  • Data curation to support development of predictive models/automation
  • Propose, develop, and support new technologies and processes to give TDW a market advantage with respect to data quality and accuracy
  • Coordinates on an on-going basis with the data science team to improve engineering solution offerings
  • Data Management to support implementation and use of data lake and data pipeline
  • Support analysis solutions with new technologies that result in better products being delivered to the customer
  • Stay current with industry regulations and the latest technology in the industry and being used by competitors
  • Create technical specifications to support commercial offerings
  • Develop technical literature and present on findings to customers and the industry as a whole

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TD Williamson is a global provider of solutions for pressurized piping systems. TDW delivers a comprehensive portfolio of safe integrity pipeline system solutions for onshore and offshore applications, including advanced isolation and repair, integrated pigging and integrity assessment solutions.

Industrial Engineering


Key Values

  • Global career opportunities
  • Commitment to safety
  • Initiative and integrity
  • Innovation spirit