Hybrid Data Scientist

Job DescriptionAbout NDT Global NDT Global is the leading provider of inline diagnostic solutions, advanced data insights, and integrity management services that safeguard energy-sector infrastructure. The company is recognized for its expertise in both ultrasonic inspection technologies — such as Pulse Echo, Pitch-and-Catch, Phased Array, and Acoustic Resonance (ART Scan) — and ultra-high-resolution Magnetic Flux Leakage (MFL) inspection services. These differentiated offerings, along with non-ultrasonic technologies like Inertial Measurement Units and others in development, enable NDT Global to deliver comprehensive asset integrity solutions. Innovation is at the core of NDT Global's mission. We continuously challenge the boundaries of existing technologies to deliver transformational solutions that empower the industry to achieve safer, more cost-effective pipeline management. Our commitment to research and development drives the creation of vital new methods and tools that address the evolving needs of our customers while setting new industry standards. By strategically applying inspection technologies to detect, diagnose, and model various types of threats, NDT Global provides predictive, decision-ready insights. These insights, driven by the world’s most accurate data, enable asset owners to optimize infrastructure health, drive operational efficiencies, reduce risk, and minimize their carbon footprint. Purpose: 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 preferred A PhD in Computer Science, Engineering, Natural Sciences or Mathematics is preferred 2 years of work experience in similar roles 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 Competitive salary and comprehensive benefits package : Health Insurance, pension Plan, Gym Flex, eyecare, 23 days Annual leave Flexible & Hybrid working:Our flextime model allows you to design your working day as it suits your needs We think about the future:Individual training and development opportunities and professional development schemes Opportunity to work with cutting-edge technologies and make a significant impact on our data strategy International, intercultural and young working environment. Great company culture and office environment#J-18808-Ljbffr