20 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
14d
Software and AI Strategic Partner Manager, Google for Education
Google —Ciudad de México, CDMX
- Administración de personal
- Experiencia en ventas
- Inglés
Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
8d
Data Scientist (Científico de Datos) - Hybrid
Clara —Ciudad de México, CDMX
- Administración de personal
- Inglés
- SQL
10d
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Senior Data Engineer
Arkham Technologies —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Python
Postulación rápida
Sistemas Distribuidos
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Inglés
Senior Software Engineer (Frontend) - Scribd Core
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- JavaScript
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
AI Customer Support
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Sr. Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Customer Support Agent (Mexico - Credit Card Team)
Lendable —Ciudad de México, CDMX
- $12,600 a $25,200 por mes
- Trabajo híbrido
- Inglés
- Experiencia en operaciones bancarias
Java Developer with Microservices and AWS Senior-Level
Globant —Ciudad de México, CDMX
- Inglés
- Java
- Experiencia en bases de datos
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
VMware Virtualization Administrator
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Inglés
Forward Deployed Engineer Intern
Arkham Technologies —Ciudad de México, CDMX
- Trabajo híbrido
- Informática
- SQL
- Python
Postulación rápida
Full Stack Developer/AI Engineer
WPP —Ciudad de México, CDMX
- Azure
- Inglés
- Python
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
10d
Data Analyst, Supply Chain
Serve Robotics —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Análisis de datos

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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 14 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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Refina tu búsqueda

machine learning platform empleos en ciudad de méxico, dif

Managing Consultant, Advisors & Consulting Services, Performance Analytics

Software and AI Strategic Partner Manager, Google for Education

Data Engineer - CORO Products

Data Scientist (Científico de Datos) - Hybrid

Senior Software Engineer

Data Engineer - Databricks

Senior Data Engineer

Sistemas Distribuidos

Senior Software Engineer (Frontend) - Scribd Core

AI Customer Support

Sr. Data Scientist

Customer Support Agent (Mexico - Credit Card Team)

Java Developer with Microservices and AWS Senior-Level

Senior AI Engineer

VMware Virtualization Administrator

Forward Deployed Engineer Intern

Full Stack Developer/AI Engineer

Senior Software Development Engineer, Big Data

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

Data Analyst, Supply Chain

Quiero recibir la alerta de empleo más reciente para machine learning platform en ciudad de méxico, dif

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