20 publicaciones de empleo destacadas de machine learning en loreto cdmx (¡Están contratando!)

Data Scientist II
The Nielsen Company —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Oracle
- DevOps
- SQL
Postulación rápida
Data Scientist
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Doctorado
- Informática
Postulación rápida
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
AI / Agent Engineer
Appnovation Technologies —Ciudad de México, CDMX
- Home Office (Desde casa)
- Informática
- Licenciatura
- Sin título de educación superior
Postulación rápida
7d
Software Engineer II - Java
JPMorganChase —Colonia Lomas de Chapultepec, CDMX
- Tiempo completo
- Java
- JavaScript
- Desarrollo de software
Quant Researcher - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
3d
Staff I Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
Postulación rápida
4d
BI Azure Data Engineer
Connectingology —Ciudad de México, CDMX
- $60,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Desarrollador IA
Babel —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
- Oportunidades de crecimiento
Analista de Inteligencia Artificial l Call Center
2Trato —Gustavo A. Madero, CDMX
- $12,000 por mes
- Aplicaciones en linea
- Microsoft Excel
- Ingeniería
- SQL
- Seguro de vida
- Programa de referidos
Postulación rápida
Senior Data Engineer (Scala / Spark / AWS)
Globant —Ciudad de México, CDMX
- Java
- Experiencia en bases de datos
- SQL
Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
4d
Data Analyst, Supply Chain
Serve Robotics —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Microsoft Excel
- Administración de personal
- Análisis de datos
Data & Analytics Specialist
Ford Motor Company —Naucalpan, Méx.
- Informática
- SQL
- Licenciatura
Experto Sr. en Ingeniería de Inteligencia de Datos
Alia Integrando Talento —Ciudad de México, CDMX
- Aplicaciones en linea
- Ingeniería
- Inglés
- SQL
Postulación rápida
Data & AI Scientist
Klar Technologies SA de CV SFP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Inglés
- SQL
Postulación rápida
7d
Data Engineer
IDS Comercial, S.A. de C.V. —Benito Juárez, CDMX
- Tiempo completo
- Ingeniería
- Inglés
- SQL
- Oportunidades de crecimiento
Postulación rápida
Custom Analytics Manager II
TransUnion —Miguel Hidalgo, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Senior AI Application Engineer
Qualcomm —Ciudad de México, CDMX
- Doctorado
- Informática
- Java
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura

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Data Scientist II

The Nielsen Company -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Oracle
Estadísticas
DevOps
Estructura de datos
R
Matemáticas
Tableau
ANOVA
SQL
Licenciatura
Visualización de datos
Python

Descripción completa del empleo

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Job Description

Our team develops new techniques and processes to better meet the needs of our Audio and TV clients to measure audiences, working at the intersection of Data Science, Technology, Product Delivery and Operations.
In this role, you will be working on the forecasting, modeling and code which drive the key production processes of the PPM Wearables audience measurement panels. You will develop data pipelines, execute analyses and summarize results, collaborating with a variety of stakeholders to provide clear data-driven solutions and recommendations.

Responsibilities

Research, design, develop, implement and test econometric, statistical, optimization and machine learning models.
Gain a deep understanding of the PPM (Portable People Meter) sampling methodology and become an expert in Audience Measurement, with a focus on panel management strategies.
Query data from large relational databases for various analyses and/or requests.
Utilize tools such as Python, Tableau, R etc. to perform complex data analysis and visualizations.
Oversee, maintain and evolve multiple data algorithms for managing the PPM Sample Methodology in a time-critical production environment.
Maintain and update documented departmental procedures, checklists and metrics comprehensively and on a timely basis.
Serve on various interdepartmental teams seeking to propose, evaluate and implement new initiatives, and work on other critical projects. This includes support with writing requirements, developing new software and testing.
Respond to various internal and external client requests, providing data driven solutions to the problems presented.
Incorporate quality checks to proactively detect and correct for errors throughout production processing and analysis.
Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows.

Qualifications

Bachelor’s Degree or higher in Mathematics, Statistics, Computer Science, Data Science, Data Engineering or a related field.
3+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytical software solutions in a production environment.
3+ years of experience with the following:
Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses
Programming in Python, PySpark and SQL for data pipeline development used to support analytics
Data visualization with Tableau and/or similar tools
Experience working in cloud-based environments such as AWS
DevOps tools, code management and CI/CD workflows using Gitlab or similar tools
Project management including ability to prioritize multiple assignments
Well-organized, clear communication, and an ability to handle multiple competing priorities in a fast-paced environment.
Embraces innovation with a readiness to explore new solutions and a commitment to rapid iteration based on customer feedback.
Demonstrates strategic thinking, understanding the broader impact of data insights on product and business objectives.
Exceptional problem solving skills. Abilities to solve problems independently and within a cross-functional team to resolve issues in the projects.
Nice to have: Working Knowledge of statistical tests and procedures such as ANOVA, Chi-squared, Correlation, Regression, and Student t-test.
Expertise in querying large datasets with SQL and of working with Oracle/Netezza/Data Warehouse and Data Lake data structures.
Critical thinking skills to evaluate results in order to make timely decisions.

#LI-Hybrid

Additional Information

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

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