7 publicaciones de empleo destacadas de machine learning en loreto, dif (¡Están contratando!)

Data Engineering Director: eCommerce & Consumer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Desarrollo de software
- Liderazgo
Postulación rápida
PRACTICANTE MERCADOTECNIA-INTELIGENCIA DE MERCADO
FANDELI —San Jerónimo Tepetlacalco, Méx.
- $3,000 a $3,200 por mes
- Lunes a viernes
- Microsoft Excel
- Mercadotecnia
- Ingeniería
Postulación rápida
CYBERSECURITY SPECIALIST
PROXIM —Ciudad de México, CDMX
- Tiempo completo
- Python
Senior AI Engineer
The Chemours Company —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Microsoft Office
Ingeniero/a de Datos Senior (Híbrido)
SimplePractice —Ciudad de México, CDMX
- Informática
- DevOps
- Ingeniería
- Gastos de reubicación
- Seguro dental
Postulación rápida
Ingeniero de Datos Inversiones Alternativas - Publicación vencida
Sura —Cuauhtémoc, CDMX
- $68,000 por año
- Microsoft Excel
- Inglés
- SQL
Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
5d

Discover related jobs

Based on your search for machine learning jobs.

Associate Director of Marketing
LVMH Fragrance Brands —Miguel Hidalgo, CDMX
Exceptional strategic thinking with a deep understanding of modern consumer trends and digital ecosystems. Lead, mentor, and inspire a growing team of marketing…
5d
UX Design Associate Manager
PepsiCo —Miguel Hidalgo, CDMX
The Tech Strategy and Enterprise Products team within PepsiCo’s global Strategy and Transformation group is tasked with articulation of the vision, execution…

Quiero recibir la alerta de empleo más reciente para machine learning en loreto, dif

Al ingresar a tu cuenta, aceptas las Condiciones del servicio de SimplyHired y das tu consentimiento a nuestra Política de privacidad y Cookies.

Explorar empleos en más ubicaciones

machine learning jobs near loreto, dif

Empleos de Embedded Software Engineer en Guadalajara, JAL.

Empleos de Data Engineer en Guadalajara, JAL.

Empleos de Data Engineer en Coyoacán, Cdmx

Empleos de Data Engineer en Jalisco

Empleos de Data Entry en Ciudad De México

Empleos de Practicante Mercadotecnia en Monterrey, N. L.

Empleos de Practicante Mercadotecnia en Santa Catarina, N. L.

Empleos de Practicante Administrativo en Monterrey, N. L.

Empleos de Practicante Mercadotecnia en San Pedro Garza García, N. L.

Empleos de Practicante Mercadotecnia en San Nicolás De Los Garza, N. L.

Empleos de Aduanas, Practicante en Tijuana, B.c.

Empleos de Mercadotecnia en Monterrey, N. L.

Empleos de Practicante Arquitectura en León, GTO.

Empleos de Procurement Specialist en Monterrey, N. L.

Empleos de Cybersecurity Specialist en Ciudad De México

Empleos de Data Analyst en Querétaro, QRO.

Empleos de Data Analyst en Mexicali, B.c.

Empleos de Data Engineer en Monterrey, N. L.

Empleos de Data Engineer en Puebla, PUE.

Empleos de Data Engineer en Remoto Mexico

Data Engineering Director: eCommerce & Consumer

Levi Strauss & Co. -
Centro (Área 1), CDMX

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Modelado de datos
Azure
Big data
Spark
Google Cloud Platform
Desarrollo de software
Kafka
Liderazgo

Descripción completa del empleo

Job Location: Mexico City, Mexico

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.

We are seeking a strategic and execution-focused Data Engineering Director for eCommerce and Consumer data team. In this highly visible global role, you will drive the vision and delivery of best-in-breed data solutions that power our digital experiences and unlock the full value of all our data. Your leadership will enable teams across marketing, product, digital commerce, and customer experience to make smarter, faster, and more personalized decisions at scale. This role will be responsible for delivering data that will help us understand and optimize the digital customer journey, enables hyper-personalization at scale, drives retention and loyalty and fuels advanced AI/ML use cases across the company.

This is a high-impact leadership role at the intersection of data engineering, analytics, and AI/ML enablement—ideal for someone who thrives in building high-performance teams and enterprise-grade data platforms that are the backbone of customer-centric innovation.

About the Job

Lead and grow a high-performing global data engineering team focused on eCommerce and Consumer analytics.

Architect and oversee the implementation of robust pipelines for clickstream data ingestion, transformation, and enrichment from web, mobile, and digital touchpoints.

Partner with analytics, data science, ecommerce engineering and product teams to define reusable, high-quality data products that drive critical KPIs: user engagement, conversion, retention, LTV, churn, etc.

Drive the roadmap for real-time event driven and batch processing architectures, enabling rapid experimentation and decision-making.

Ensure best practices in data governance, quality, lineage, and observability—across large volumes of consumer and behavioral data.

Lead the integration of third-party enrichment sources and identity resolution technologies to build a 360° view of the consumer.

Advance platform capabilities that support AI/ML-driven personalization, segmentation, and journey optimization.

Champion scalable data architecture aligned with our broader modern data platform strategy.

Foster a strong engineering culture that values innovation, quality, speed, and inclusivity.

Champion privacy, ethics, and security in data practices to ensure compliance with regulatory standards and foster consumer trust.

About You

10+ years of experience in data engineering, with at least 3–5 years leading high-performing teams in digital commerce or consumer analytics environments.

Experienced in software development, CI/CD pipelines, testing, operations, on-call rotation setup, and observability

Deep technical expertise in cloud-native data platforms (e.g., GCP, AWS, Azure) and big data frameworks (Spark, Kafka/pub-sub, etc).

Proven experience building and scaling clickstream pipelines and digital data infrastructure, ideally using tools like Segment, Adobe/GA4, etc.

Experience with customer data platforms (CDPs), identity resolution, and privacy-aware data modeling.

Strong command of data warehousing (e.g., BigQuery, Snowflake) and ELT tools (e.g., dbt, Airflow/Kubeflow).

Ability to translate ambiguous business goals into actionable data solutions.

Familiarity with machine learning pipelines and collaboration with data science teams.

Strong cross-functional leadership skills—comfortable aligning with marketing, digital product, engineering, and privacy/legal stakeholders.

Why Join Us

You’ll be part of a company investing deeply in data and AI to transform how we serve and understand our customers. You’ll help shape a data ecosystem that delivers precision, personalization, and performance at scale—and lead a team that's at the forefront of redefining how consumer and digital data power growth.

LOCATION

Mexico, D.F., Mexico

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.

Postulación rápida

Refina tu búsqueda

machine learning empleos en loreto, dif

Data Engineering Director: eCommerce & Consumer

PRACTICANTE MERCADOTECNIA-INTELIGENCIA DE MERCADO

CYBERSECURITY SPECIALIST

Senior AI Engineer

Ingeniero/a de Datos Senior (Híbrido)

Ingeniero de Datos Inversiones Alternativas - Publicación vencida

Senior Data Scientist, DTC

Discover related jobs

Quiero recibir la alerta de empleo más reciente para machine learning en loreto, dif

Related Searches

Explorar empleos en más ubicaciones

LOCATION

FULL TIME/PART TIME

Current LS&Co Employees, apply via your Workday account.

Herramientas para candidatos

Herramientas para empresas

Explorar

Mantente conectado