Machine Learning

Capgemini; Aguascalientes; Híbrido; MXN 900,000 - 1,200,000; Jornada completa

Descripción de la vacante

A leading consulting firm in Mexico is seeking a Data Scientist to collaborate with their Data Science team on high-value AI projects. The ideal candidate will have over 5 years of experience in data science, proficiency in Python and R, and familiarity with big-data frameworks and cloud platforms. This role involves building robust data pipelines, developing AI capabilities, and visualizing data for stakeholder reporting.

Formación

• At least 5 years of experience with programming languages such as R, Python, Java, C++, C#, Scala, SAS, MATLAB.
• Minimum 5 years of experience in data science, AI, and machine learning disciplines.
• Experience in deploying models in production and building data pipelines.

Responsabilidades

• Interpret and analyze data problems using advanced modeling techniques.
• Build robust data pipelines using big-data tools.
• Manage data quality and integrity.
• Visualize data and create reports and dashboards.

Conocimientos

Data science

Python

Machine learning

R

Statistical methods

Data visualization

Big-data tools

Cloud platforms

Herramientas

TensorFlow

Keras

Hadoop

Spark

Azure

AWS

Google Cloud

Descripción del empleo

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 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 cutting-edge technologies in Artificial Intelligence, Machine Learning, Optimization, and Big Data.
Will independently develop, productionize, and maintain AI capabilities within the Cloud to keep Royal Caribbean Cruise Lines competitive in this space.

Responsibilities
Data Scientist Responsibilities
Interpret and analyze data problems using advanced modeling techniques.
Build robust data pipelines using big-data tools.
Integrate data across different systems and streams.
Maintain data quality and integrity.
Independently develop analytic systems, predictive models, and optimization engines within a cloud environment.
Test, monitor, and improve data-driven products using industry best practices.
Continuously experiment with new machine-learning models and techniques.
Visualize data, create reports and dashboards, and develop interactive applications.
Plan projects and timelines.
Communicate effectively with business stakeholders up to the director level.
Serve as a primary contact for assigned stakeholders.
Manage change requests and urgent issues.

Data Science Skillset
Experience with statistical methods such as t-tests, ANOVA, Proportion tests, data normalization, and outlier detection.
Proficiency with modeling techniques including linear models, decision trees, neural networks, k-nearest neighbors, support vector machines, clustering, and ensembling.
Experience with Linear and Mixed Integer Optimization.
Knowledge of NLP and Deep Learning tools like TensorFlow or Keras.
Familiarity with big-data frameworks like Hadoop, Spark, or Dask.
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
Experience with Agile development methodologies.
Experience in large corporations or consulting, especially in marketing, CRM, or management sciences, is highly desirable.
Strong oral and written communication skills.

Required Experience
At least 5 years of experience with programming languages such as R, Python, Java, C++, C#, Scala, SAS, MATLAB, or similar, and SQL.
Minimum 5 years of experience in data science, AI, and machine learning disciplines, including forecasting, NLP, deep learning, and computer vision.
At least 2 years deploying models in production.
At least 3 years building data pipelines.
Experience with data mining processes and data preparation techniques.

Key Words
Data science, Python, R, machine learning