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.PurposeThe 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.ResponsibilitiesResearches and implements algorithms for improving data analysis accuracy and/or efficiencyTests and performs statistical analysis to evaluate developed solutionsEnsures quality of the developed algorithms by software testing and/or code reviewsWrites documentation of developed solutions and ensures knowledge transferKeeps up to date with development practices in the industrySupports daily business with short-notice feasibility studies or data fixesOther duties as assignedQualification And Work ExperienceA bachelor's degree in computer science, Engineering, Natural Sciences or Mathematics is requiredA master's degree in computer science, Engineering, Natural Sciences or Mathematics is preferredA PhD in Computer Science, Engineering, Natural Sciences or Mathematics is preferred2 years of work experience in similar rolesExperience working contributing to research and/or data science projectsAdvanced knowledge on statistical analysis and high abstraction and synthesis levelExperience in scientific programming and data analysisKnowledge in Data Science and Machine Learning (feature engineering, supervisors and unsupervised learning)Experience communicating with experts and non-experts on scientific problems and resultsAdvanced programming skills in pythonSkillsetMust be proficient in spoken and written English, local language is a plusExcellent problem-solving skills and a curious mindsetStrong 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 conceptsBenefitsAn exciting role working with cutting-edge technologies and equipmentAn internationally oriented company with flat hierarchies and a collegial atmosphereOpportunities for growth and the chance to actively contribute to the success of our companyWe invest in the future: personalized training and development opportunitiesPermanent employment contract, attractive compensation system, and 30 days of vacation entitlementFlexible working hours availableAccident insurance that also covers private incidentsContributions to a company pension schemeInformal "you" culture: international and intercultural working environmentAdditional company benefits: JobRad (bike leasing), summer party, Christmas celebration, health initiatives (e.g., discounted gym memberships, running groups, event runs, city cycling), access to a company cafeteria, free parking