14 publicaciones de empleo destacadas de machine learning platform en ciudad de méxico, dif (¡Están contratando!)

Managing Consultant, Advisors & Consulting Services, Performance Analytics
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Inglés
12d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Oracle ERP Systems Engineer
Wisefind —Ciudad de México, CDMX
- Home Office (Desde casa)
- Oracle
- ERP systems
- Inglés
Postulación rápida
Sr. Specialist Solution Architect - AI, AWS Mexico Commercial
Amazon Web Services Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- Licenciatura
16h
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
7d
Data Architect / Engineer
Appnovation Technologies —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- SQL
- Licenciatura
Postulación rápida
8d
Senior Mobile Security Engineer
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Sin título de educación superior
- Seguro dental
- Seguro de la vista
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Data Analyst, AML & Regulatory Compliance
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- SQL
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Data Engineering Director: eCommerce & Consumer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Desarrollo de software
- Liderazgo
Postulación rápida
QA Automation Engineer (API & Database Validation)
Nexaminds —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
Graphic Design Expert (International)
HumanSignal —Ciudad de México, CDMX
- Hasta $20 por hora
- Medio tiempo
- Home Office (Desde casa)
- Capacitación
- Experiencia en enseñanza
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
5d

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Managing Consultant, Advisors & Consulting Services, Performance Analytics

Mastercard -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 12 días

Cualificaciones

Microsoft Powerpoint
Microsoft Excel
SAS
Big data
Spark
R
Inglés
Apache Hive
Seguridad informática
Maestría
Experiencia en bases de datos
SQL
Licenciatura
Kafka
Python
Hadoop

Descripción completa del empleo

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Managing Consultant, Advisors & Consulting Services, Performance Analytics

Overview

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results.

Consultant, Advisors Client Services, Data & Services

Mastercard Data & Services provides cutting-edge data analysis and services to Fortune 500s, governments, and nonprofits to make multimillion-dollar business decisions and grow their organizations. Our Advisors Client Services team combines traditional management consulting with Mastercard’s rich data assets and in-house technologies to provide our clients with powerful strategic insights and recommendations. Mastercard Advisors work with a diverse global customer base across industries, from banking and payments to retail and finance.

The Advisors Client Services group has five specializations: Performance Analytics, Strategy & Transformation, Business Experimentation, Marketing and Project Management. Our Performance Analytics consultants use AI, Machine learning and BI platforms, develop cutting edge insights and products for our clients using Mastercard, customer & 3rd party data assets. Apply qualitative and quantitative techniques on our enterprise applications (e.g., Hadoop, Spark, Kafka, NiFi, Python, Impala, and more) to deliver solutions and products that creates business impact. Get hands-on to design, implement & scale analytical solutions for customers across industries.

Positions for these different specializations and levels are available in separate job postings. Please apply to the position that is best suited to your background and experience.

If you want additional information regarding the different career levels and specializations within Advisors, visit the Advisors Client Services Specializations webpage.

Roles and Responsibilities

Client Impact

Lead client engagements across a range of industries and problem statements

Develop analytics strategies and programs for large, regional and global clients by leveraging data and technology solutions to unlock client value

Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness

Team Collaboration & Culture

Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members’ roles and skills

Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels

Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital

Provide on-the-job training, coaching, and mentorship to junior consultants

Qualifications

Basic qualifications

Undergraduate degree with data and analytics experience working on business intelligence and/or descriptive, predictive, or prescriptive analytics projects

Experience managing clients or internal stakeholders

Ability to analyze large datasets and synthesize key findings

Proficiency using data analytics software (e.g., Python, R, SQL, SAS)

Advanced Word, Excel, and PowerPoint skills

Able to perform multiple tasks in a fast-paced, deadline-driven environment

Able to communicate effectively in English and the local office language

Eligible to work in the country where they are applying and for travel visas as required by travel needs

Preferred qualifications

Experience building, managing, and maintaining database structures

Additional data and analytics experience: Hadoop framework and coding using Impala, Hive, or Psypark

Experience generating new knowledge or creating innovative solutions for a firm

Relevant industry expertise

Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

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machine learning platform empleos en ciudad de méxico, dif

Managing Consultant, Advisors & Consulting Services, Performance Analytics

AI DevOps Engineer

Oracle ERP Systems Engineer

Sr. Specialist Solution Architect - AI, AWS Mexico Commercial

Data Engineer Senior with GCP and Python - MX-Any City

Data Architect / Engineer

Senior Mobile Security Engineer

Data Engineer II, DASH Device Operations

Data Analyst, AML & Regulatory Compliance

Senior Data Engineer

Data Engineering Director: eCommerce & Consumer

QA Automation Engineer (API & Database Validation)

Graphic Design Expert (International)

Senior Data Scientist, DTC

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