Data Scientist II

3 months ago

Swindon, United Kingdom T.D. Williamson Full time
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 solutions
  • Collaborate heavily with other Data Scientists, Software, Operations, and other engineering departments to creates solutions to In-Inspection problems
  • Design, build and deploy software in a production environment
  • Assist and collaborate on problems of varying complexity with direction from more senior engineers
  • Development of models/software from: 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, Applied Mathematics, Data Analytics, Data Science, Computer Science or related field or equivalent indstry experience

  • 0-3 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 Skills
  • Excellent verbal and written communication skills
  • Experience with Python, specifically PyTorch, Tensorflow, Boost, Neural Networks, and/or Scikit-learn
  • Requires excellent understanding of In-Line Inspection Technologies such as Magnetic Flux Leakage, Geometric tools, Mapping (Inertial Navigation Systems), EMAT, or other applicable technologies

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