At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment.
Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.
Responsible for the models used in detection, identification, classification, and regression of pipeline features. Prototypes new methodologies and improves on old ones to ensure TDW remains a trusted pipeline services provider. Responsible for the design/development, modification, and implementation of models for detection, identification, classification, and regression.
Key Responsibilities
Primary duties may include, but are not limited to:
Meet with stakeholders to define solutions
Collaborate heavily with other Data Scientists, Software, Mechanical, Electrical, Operations, and other departments to creates solutions to Inline-Inspection problems
Design, build and deploy software in a production environment
Direct and collaborate on problems of varying complexity with support from other engineers
Development of models/software from: research, concept, design, unit testing, code reviews, to life cycle support
Propose and implement performance optimizations and scaling strategies
Review existing models and propose improvements
Requires annotation, cleaning, and technical support for any related data utilized while developing software/models
Estimate development durations and meet deadlines
Plan and track projects using Agile methodology and designated project software
Represent TDW at industry events
Experience
Bachelor's degree in Statistics, Physics, Applied Mathematics, Data Science, Computer Science or related field or equivalent industry experience
5-10 years experience with object-oriented programming, test driven development, and software development life cycle
0-3 years experience with MS Visual Studio development environment
0-3 years experience with C++
5-10 years experience with Python
5-10 years experience with Regression Analysis
5-10 years experience with Signal Processing
5-10 years experience with Machine Learning Models for detection/classification
Knowledge, Skills, and Abilities
Good Customer Service Skills
Excellent verbal and written communication skills
Experience with Python, specifically PyTorch, Tensorflow, Boost, Neural Networks, and/or Scikit-learn
Firm grasp of data visualization of signal/sensor (non-tabular) data
Filtering/Signal Processing as well as simulation of signal data is preferred
Understanding of In-Line Inspection Technologies, such as EMAT or Ultrasonic is preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: RTX15ceb1
- Position Id: c9ee0d26bf9d1bea74a9e97800c0ddc5
- Posted 8 days ago
