DATA SCIENTIST

at  NDT Global

NDT Global is the leading provider of ultra-high-tech diagnostic inspection solutions, advanced data analysis and integrity assessment services for ensuring the safety and longevity of energy-sector infrastructure assets. Recognized as the forerunner in ultrasonic inspection technologies comprising Pulse Echo, Pitch-and-Catch and Phased Array, as well as Acoustic Resonance (ART Scan) methodologies, the company also deploys a range of non-ultrasonic technologies, such as Inertial Measurement Units, with more under development. NDT Global strategically applies its inspection technologies to detect, diagnose and model various types of threat—circumferential or axial cracks, metal loss, geometry, mapping, and more—across diverse classes of assets. By providing predictive, decision-ready insights driven by the world’s most accurate data, NDT Global enables the conditions for asset owners to optimize infrastructure health and drive operational efficiencies while reducing risk and minimizing their carbon footprint.

Qualification and work experience

• A bachelor’s degree in computer science, Engineering, Natural Sciences or Mathematics is required
• A Master’s degree in Computer Science, Engineering, Natural Sciences or Mathematics is prefered
• A PhD in Computer Science, Engineering, Natural Sciences or Mathematics is prefered
• Experience working contributing to research and/or data science projects
• Advanced knowledge on statistical analysis and high abstraction and synthesis level
• Experience in scientific programming and data analysis
• Knowledge in Data Science and Machine Learning (feature engineering, supervisors and unsupervised learning)
• Experience communicating with experts and non-experts on scientific problems and results
• Advanced programming skills in pytho

Skillset

• Must be proficient in spoken and written English, local language is a plus
• Excellent problem-solving skills and a curious mindset
• Strong communication skills and ability to collaborate in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• Friendly and approachable demeanor, fostering a positive work environment.
• Passion for data science and a genuine interest in exploring new ideas and concept

The goal of the Data Scientist is to improve accuracy and efficiency of data analysis through the research and implementation of data-driven algorithms and methodologies.

Responsibilities

• Researches and implements prototypes for improving data analysis accuracy and/or efficiency
• Tests and performs statistical analysis to evaluate developed solutions
• Ensures quality of the developed prototypes by software testing and/or code reviews
• Writes documentation of developed solutions and ensures knowledge transfer
• Keeps up to date with development practices in the industry
• Supports daily business with short-notice feasibility studies or data fixes
• Other duties as assigned

Qualification and work experience

• A bachelor’s degree in computer science, Engineering, Natural Sciences or Mathematics is required
• A Master’s degree in Computer Science, Engineering, Natural Sciences or Mathematics is prefered
• A PhD in Computer Science, Engineering, Natural Sciences or Mathematics is prefered
• Experience working contributing to research and/or data science projects
• Advanced knowledge on statistical analysis and high abstraction and synthesis level
• Experience in scientific programming and data analysis
• Knowledge in Data Science and Machine Learning (feature engineering, supervisors and unsupervised learning)
• Experience communicating with experts and non-experts on scientific problems and results
• Advanced programming skills in python

Skillset

• Must be proficient in spoken and written English, local language is a plus
• Excellent problem-solving skills and a curious mindset
• Strong communication skills and ability to collaborate in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• Friendly and approachable demeanor, fostering a positive work environment.
• Passion for data science and a genuine interest in exploring new ideas and concepts

Benefits

• Great long-term career prospects and development opportunities
• Challenging tasks in innovative and diverse teams
• Attractive compensation system
• Hybrid work model and flexible working environment