Lead Machine Learning Engineer - Data & Analytics Leader

Citi; Ciudad de México; Presencial; MXN 420.000 - 700.000; Jornada completa

Descripción de la vacante

Citi in Mexico City is seeking a Data/Information Management Intermediate Analyst who will tackle data challenges with limited guidance, applying analytical thinking and a solid understanding of industry standards. You will integrate specialty knowledge with team objectives and ensure data quality and governance across projects.

Responsibilities include data analysis, maintenance, quality assurance, and collaboration with development teams.

Formación

• 2-5 years relevant experience.
• Ability to think strategically and engage resources to achieve objectives.
• Know-how on analytic tools (SAS E-miner, Knowledge Seeker, SPSS).
• Big data and machine learning experiences with R, Python.

Responsabilidades

• This function covers incumbents responsible for data activities including database administration, data analysis, maintenance, data quality, and database management or architecture/design engineering.
• Responsible for routine operational or administrative work.
• Day-to-day actions focus on defined procedures, analyses and report preparation.
• Daily deliverables of routine outputs while developing broader context knowledge.
• Appropriately assess risk and ensure compliance with laws, policies and ethics.

Conocimientos

SAS E-miner

Knowledge Seeker

SPSS

Python

R

Pyspark

Big data

Machine learning

Analytical thinking

Attention to detail

Educación

Bachelor's degree or equivalent experience

Herramientas

Jenkins

Artifactory

SonarQube

Bitbucket

Descripción del empleo

Citi in Mexico City is seeking a Data/Information Management Intermediate Analyst who will tackle data challenges with limited guidance, applying analytical thinking and a solid understanding of industry standards. You will integrate specialty knowledge with team objectives and ensure data quality and governance across projects.

Responsibilities include data analysis, maintenance, quality assurance, and collaboration with development teams.