Marketing Data Scientist

hace 2 semanas


Barcelona, España NDT Global A tiempo completo

About 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. 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. 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. 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 Supports daily business with short-notice feasibility studies or data fixes 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 ~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) ~ Advanced programming skills in python Must be proficient in spoken and written English, local language is a plus Passion for data science and a genuine interest in exploring new ideas and concepts 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 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 Great company culture and office environment


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