Data Science/ML- Senior-EY- GDS

Ernst & Young Advisory Services Sdn Bhd; Ciudad de México; Presencial; MXN 550,000 - 918,000; Jornada completa

Descripción de la vacante

A global consulting firm in Mexico City is seeking a skilled individual to develop analytical models and implement machine learning techniques. The ideal candidate will have a Bachelor's degree in a relevant field, advanced Python skills, and a strong understanding of cloud technologies. Responsibilities include creating data visualizations and collaborating with teams on innovative solutions in Big Data. Competitive salary and professional growth opportunities provided.

Formación

• Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or Engineering.
• Strong knowledge of cloud technologies, dashboards, and Big Data.

Responsabilidades

• Develop and apply analytical models for data interpretation.
• Create data visualizations using tools such as Tableau and Power BI.
• Implement Machine Learning and Deep Learning techniques to solve problems.
• Collaborate with multidisciplinary teams to develop innovative solutions in Big Data.

Conocimientos

Advanced Python

Advanced English

Strong knowledge of cloud technologies

Data visualization

Machine Learning

Deep Learning

Educación

Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or Engineering

Herramientas

Amazon SageMaker

GCP Vertex AI

Databricks

Kubernetes

MLflow

Docker

Flask

FastAPI

Scikit-learn

Keras

Pandas

NumPy

SciPy

TensorFlow

PyTorch

Git

CI/CD

Apache Spark

PySpark

Hadoop

Descripción del empleo

EY GDS CS MEXICO is an internationally recognized company known for its excellence in consulting services and information technology solutions. We pride ourselves on fostering an environment of innovation and professional growth for our employees.

Position Requirements

Minimum Education Required: Bachelor's degree in computer science, Data Science, Statistics, Mathematics, or Engineering.

Required Technical Skills:

• Advanced Python
• Advanced English
• Strong knowledge of cloud technologies, dashboards, and Big Data

Preferred Technical Skills:

• Programming Languages and Databases: Python, R, SQL, NoSQL
• Tools and Platforms: Amazon SageMaker, GCP Vertex AI, Databricks, Kubernetes, MLflow, Docker, Flask, FastAPI
• Libraries and Frameworks: Scikit-learn, Keras, Pandas, NumPy, SciPy, TensorFlow, PyTorch
• Version Control and Deployment: Git, CI/CD
• Models and Techniques: Regression, Decision Trees, Clustering, NLP, Neural Networks
• Big Data and ETL Technologies: Apache Spark, PySpark, Hadoop, Databricks, ETL

Responsibilities

• Develop and apply analytical models for data interpretation.
• Create data visualizations using tools such as Tableau and Power BI.
• Implement Machine Learning and Deep Learning techniques to solve problems.
• Collaborate with multidisciplinary teams to develop innovative solutions in Big Data.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.