Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.
Overview
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 solutionsCollaborate heavily with other Data Scientists, Software, Operations, and other engineering departments to creates solutions to In-Inspection problemsDesign, build and deploy software in a production environmentAssist and collaborate on problems of varying complexity with direction from more senior engineersDevelopment of models/software from: concept, design, unit testing, code reviews, to life cycle supportPropose and implement performance optimizations and scaling strategiesReview existing models and propose improvementsRequires annotation, cleaning, and technical support for any related data utilized while developing software/modelsEstimate development durations and meet deadlinesPlan and track projects using Agile methodology and designated project softwareRepresent TDW at industry eventsExperience
Bachelor's degree in Statistics, Applied Mathematics, Data Analytics, Data Science, Computer Science or related field or equivalent indstry experience0-3 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++
3-5 years experience with Python
3-5 years experience with Regression Analysis
3-5 years experience with Signal Processing
3-5 years experience with Machine Learning Models for detection/classification
3-5 years experience with In-Line Inspections technologies required
Knowledge, Skills, and Abilities
Good Customer Service SkillsExcellent verbal and written communication skillsExperience with Python, specifically PyTorch, Tensorflow, Boost, Neural Networks, and/or Scikit-learnRequires excellent understanding of In-Line Inspection Technologies such as Magnetic Flux Leakage, Geometric tools, Mapping (Inertial Navigation Systems), EMAT, or other applicable technologies