Senior Data Scientist - ML, CV & Production Deployments

NTT DATA, Inc.; Región Centro; Híbrido; MXN 900,000 - 1,200,000; Jornada completa

Descripción de la vacante

A leading technology services provider is seeking a Senior Data Scientist in Guadalajara, Mexico, requiring significant experience in data analysis, machine learning, and effective communication of insights. The successful candidate will collaborate with teams to develop solutions for business challenges and must have deep knowledge in statistical and machine learning techniques. A degree in a quantitative field is essential, and familiarity with tools like Python and AWS SageMaker is preferred. This role offers opportunities for innovative contributions in a flexible work environment.

Formación

• 8+ years of experience in data analysis and modeling.
• Strong interest in exploring data and communicating insights.
• Expertise in addressing ambiguous questions with impactful analysis.
• Familiarity with Customer 360 modeling requirements.
• Experience with data pipelines and CI/CD.

Responsabilidades

• Collaborate with business teams to develop Data Science solutions.
• Conduct exploratory data analysis on relevant data sets.
• Develop and improve ML, DL, and CV models.
• Maintain deployment pipelines for models.
• Engage in ideation sessions to gather requirements.

Conocimientos

Data analysis

Machine Learning

Deep Learning

Computer Vision

Communication of insights

Statistical techniques

Educación

Degree in Computer Science, Mathematics, or Statistics

Herramientas

Python

Spark-ML

AWS SageMaker

Databricks

Power BI

Tableau

Descripción del empleo

A leading technology services provider is seeking a Senior Data Scientist in Guadalajara, Mexico, requiring significant experience in data analysis, machine learning, and effective communication of insights. The successful candidate will collaborate with teams to develop solutions for business challenges and must have deep knowledge in statistical and machine learning techniques. A degree in a quantitative field is essential, and familiarity with tools like Python and AWS SageMaker is preferred. This role offers opportunities for innovative contributions in a flexible work environment.