Data Scientist Manager - Sas

• Design, develop and implement predictive models and advanced algorithms, coordinating integration and optimization with Data Engineers and junior Data Scientists
• In complex scenarios, guide the project architecture in collaboration with Solution Architects, solving technical and strategic problems and ensuring the delivery of scalable and efficient solutions
• Development of statistical-mathematical models, development of Machine Learning models and AI technologies
• Management of the data life cycle and data mining techniques
• Realization of the analytical solution
• Agile collaboration with the Data Engineer team for the most complex projects that require specific preparation of databases.

• University education in Statistics, Mathematics, Physics, Computer Engineering, Computer Science or other related STEM faculties
• At least 2 years of experience in the role and 5 years of experience as a Data Scientist
• Ability to choose the most suitable and effective methods and models to guide strategic choices and develop evolution lines and operational plans
• Knowledge of the SAS 9.4 programming language, Sas viya 3.5 3 4.0, SAS EG, SAS Studio
• Knowledge of the SQL language
• Good knowledge of SAS Viya architecture, Data Reporting and job execution usage
• Ability to report data in the most suitable form to support management's strategic decisions, paying attention to issues related to synthesis and effective representation and visualization of information
• Ability to manage small-medium teams.

• Design and implementation in similar areas
• Knowledge of Power BI Data Reporting system
• Knowledge of Microsoft Azure environment
• Databrick, AWS
• Knowledge of English and Spanish
• Having independently carried out or participated in the implementation of projects relating to Machine Learning and Deep learning algorithms, NLP and Generative AI solutions
• Experience in project management
• Customer orientation, goal achievement, and strong problem-solving skills
• Adaptability and flexibility
• Precision and stress tolerance in meeting deadlines
• Motivation, responsibility, autonomy and team working orientation.

Opportunity to work in a dynamic environment, on national and international projects, which allows you to continuously deepen your knowledge and develop your skills.