DESCRIPTION At Global Executive we are looking for a: Data Scientist For our client, a global company specialized in developing advanced technology solutions that empower organizations through data analytics, digital transformation, and adoption of Big Data environments. With over 17 years of experience, it operates in multiple international markets and collaborates with leading companies in telecommunications, banking, retail, energy, and other key sectors. Its mission is to transform data into strategic assets, helping organizations become more agile, efficient, and competitive. The Data Scientist will be a key player in strategic projects, applying expertise in the development of advanced analytical models to solve complex problems, optimize processes, and generate actionable insights for our clients. This role is designed for those passionate about working in high-performance teams and tackling technical challenges in a dynamic environment, collaborating with experts in data engineering and advanced analytics. ### **Main Responsibilities** **Development of Predictive and Time Series Models** * Design, implement, and optimize advanced time series models to support strategic decisions and improve accuracy in business forecasting. **Anomaly Detection** * Create and execute innovative anomaly detection models using techniques such as Isolation Forest and other advanced methodologies to mitigate risks and enhance operational reliability. **Advanced Statistics for Strategic Decisions** * Apply Bayesian and inferential statistics to obtain robust and precise insights that support critical decisions across multiple industries. **Data Management and Quality** * Implement data cleaning and advanced statistical analysis techniques to ensure the quality and integrity of data used in projects. **Communication of Results** * Translate complex findings into clear and actionable messages, using data visualization tools for both technical and non-technical audiences. **Collaboration and Continuous Improvement** * Work closely with data engineering and analytics teams to integrate models into existing workflows, ensuring scalability and efficiency. REQUIREMENTS #### **Academic Background** * University degree in Mathematics, Statistics, Engineering, Computer Science, or related fields. #### **Work Experience** * At least 2 years of experience in data science, with proven specialization in: * Time series models. * Anomaly detection. * Advanced statistics and optimization. #### **Technical Skills** * Programming languages: Python, R, or similar. * Advanced knowledge of statistical modeling and machine learning techniques. * Familiarity with libraries and frameworks such as Scikit\-learn, TensorFlow, PyTorch, or equivalents. * Experience in data analysis and visualization using tools like Power BI or Tableau. #### **Valued Skills (Plus** * Experience in orchestrating data flows and Big Data environments. * Practical knowledge of Big Data frameworks such as Hadoop and Spark. * Ability to design and implement scalable data pipelines. #### **Technical Assessment** * A technical exam will be administered to validate proficiency in required technical knowledge.