Machine Learning

**Descripción larga**:**Location**:any state of Mexico****Industry - Sector: CPRS****General description****Will collaborate with the centralized Data Science team on delivering high-value AI projects across diverse business areas. These areas include (but are not limited to): Revenue Management, Digital, E-Commerce & Marketing, Supply Chain, and Marine Operations.****Will develop and maintain scalable AI solutions that support measurable business impact and revenue growth by combining business domain knowledge with new, cutting-edge technologies in the field of Artificial Intelligence, Machine Learning, Optimization & Big Data.****Will work independently to develop, productionize and maintain AI capabilities within the Cloud that will continue to keep Royal Caribbean Cruise Lines ahead of its competitors in this space.****Responsabilities****Data Scientist Responsibilities****Interpret and analyze data problems using advanced modeling techniques****Build robust data pipelines using big-data tools****Combine data across different data systems and streams****Maintain data quality and integrity****Independently build analytic systems, predictive models, and optimization engines within a cloud environment****Test, monitor, and improve performance of data-driven products using industry leading practices****Ongoing self-improvement and experimentation with new machine-learning models and techniques****Visualize data, create reports and dashboards, and build interactive apps****Plan projects and timelines for assigned projects.****Communicate competently with business stakeholders up to the director-level****Be a primary point contact for assigned business stakeholders****Responsible for change-management and urgent requests****Data Science Skillset****Experience with statistical methods such t-test of means, Tukey-HSD tests of means on groups, ANOVA, Proportion tests, data normalization and scaling, univariate and multivariate outlier detection.****Experience with modeling techniques such as linear models, decision trees, neural networks, k-nearest-neighbor, support vector machines, cluster analyses, and ensembling methods.****Experience with Linear and Mixed Integer Optimization techniques.****Experience with NLP and other Deep Learning tools (such as TensorFlow or Keras).****Experience with frameworks and languages designed for big-data analysis, including Hadoop, Spark, or Dask****Experience with cloud computing frameworks or APIs such as Microsoft Azure, Amazon Web Services and Google Cloud Platform.****Experience with Agile Software Development****Experience in a large corporation or consulting firm with focus in marketing strategies, modeling, CRM and management sciences/statistics highly desired****Strong Oral and Written skills.****Required Years of Experience****5+ years experience with any of the following programming languages: R, Python, Java, C++, C#, Scala, SAS, MATLAB or similar scripting languages. Similar experience and proficiency with SQL required.****5+ years experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision****5+ years designing experiments and researching novel solutions beyond established literature or documentation****2+ years of experience deploying models in production,****3+ years of experience building data pipelines****Experience with data mining processes (SEMMA, CRISP-DM), data preparation, consolidation, imputation, transformation, interaction, variable reduction, modeling, maintenance, and post-mortem analysis****Key Words****Data science, Python, R, machine learning,