Data Scientist, Citi - Oferta de empleo

Citi

Ubicación:
Mexico, Ciudad De Mexico

Categoría:
TI - Desarrollo de Software

Tipo de contrato:
No proporcionado

Salario:

No proporcionado

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Descripción del trabajo:

The Data Science Intermediate Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/job family. Applies analytical thinking and knowledge of data analysis tools and methodologies.

Responsabilidades:

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Delivers analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to determine system functional specifications
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Drives communication between business leaders and IT
exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup

Requisitos:

2-5 years experience using tools for statistical modeling of large data sets
Ability to effectively use complex analytical, interpretive and problem solving techniques
Analytical, flexible, team-oriented and has good interpersonal/communication skills
Demonstrated influencing, facilitation and partnering skills
Proficient in Microsoft
Bachelor's/University degree or equivalent experience
Licenciado en Actuaría, Matemáticas, Ingeniería, Economía o afines (Carrera terminada/Titulo deseable)
Indispensable experiencia profesional en paquetes estadísticos (SAS Avanzado, SQL, R Intermedio y Python intermedio, Spark deseable)
Experiencia de al menos 1 año en aprobación y monitoreo de modelos estadísticos, deseable uso de técnicas Machine Learning
Deseable 2 años de experiencia (indispensable 1 año) en sector Financiero, en proyectos como data Scientist con antecedentes de gestión de proyectos multidisciplinarios

Deseable:

Spark
Machine Learning techniques
2 años de experiencia en sector Financiero
Gestión de proyectos multidisciplinarios

Información adicional:

Oferta publicada:
09 de octubre de 2025

Tipo de empleo:

Tiempo completo

Tipo de trabajo:

Trabajo presencial

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Data Scientist