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Data Science/ML- Senior-EY- GDS

at Ernst & Young

Back to all Data Science / AI / ML jobs
Ernst & Young logo
Big Four

Data Science/ML- Senior-EY- GDS

at Ernst & Young

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 5 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Mexico City
Country
Mexico

EY GDS CS Mexico is seeking a Data Science/ML Senior to join the team. The role involves developing and applying analytical models, and creating data visualizations with Tableau and Power BI. You will implement machine learning and deep learning techniques to solve problems and collaborate with multidisciplinary teams to deliver innovative solutions in Big Data.

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, and strong knowledge of cloud technologies, dashboards, and Big Data.

Technical Skills (Preferred):Programming Languages and Databases: Python, R, SQL, NoSQL.

Tools and Platforms: Amazon SageMaker, GCP Vertex AI, Databricks, Kubernetes, MLflow, Docker, Flask, FastAPI

Data Visualization Tools: Tableau, Power BI.

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, Natural Language Processing (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

Data Science/ML- Senior-EY- GDS

at Ernst & Young

Back to all Data Science / AI / ML jobs
Ernst & Young logo
Big Four

Data Science/ML- Senior-EY- GDS

at Ernst & Young

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 5 days ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Mexico City
Country
Mexico

EY GDS CS Mexico is seeking a Data Science/ML Senior to join the team. The role involves developing and applying analytical models, and creating data visualizations with Tableau and Power BI. You will implement machine learning and deep learning techniques to solve problems and collaborate with multidisciplinary teams to deliver innovative solutions in Big Data.

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, and strong knowledge of cloud technologies, dashboards, and Big Data.

Technical Skills (Preferred):Programming Languages and Databases: Python, R, SQL, NoSQL.

Tools and Platforms: Amazon SageMaker, GCP Vertex AI, Databricks, Kubernetes, MLflow, Docker, Flask, FastAPI

Data Visualization Tools: Tableau, Power BI.

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, Natural Language Processing (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