Data Scientist II

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