Data Scientist

Capgemini; México; A distancia; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A global consulting firm in Mexico seeks an experienced Data Scientist to collaborate on high-value AI projects across various business areas. The ideal candidate will have over 5 years of experience in data science, machine learning, and proficiency in programming languages. Responsibilities include building robust data pipelines and developing AI capabilities in the Cloud. Strong communication skills are essential for stakeholder engagement.

Formación

• 5+ years' experience with programming languages: R, Python, Java, C++, C#, Scala, SAS, MATLAB.
• 5+ years' experience in data science, AI, and machine learning disciplines.
• 2+ years of experience deploying models in production.

Responsabilidades

• Interpret and analyze data problems using advanced modeling techniques.
• Build robust data pipelines using big-data tools.
• Independently build analytic systems and predictive models.

Conocimientos

Python

R

Machine learning

Deployment

Herramientas

Hadoop

Spark

TensorFlow

Keras

AWS

Azure

Google Cloud Platform

Descripción del empleo

Overview

RH: Daniela Márquez

Location: any state of Mexico

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.

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 as 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

Key Words: Python, R, Machine learning, deployment