20 publicaciones de empleo destacadas de data scientist en san pablo cdmx (¡Están contratando!)

Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
Data Quality & Governance Engineer
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- SQL
- Control de calidad
- Python
Data Architect
BMC Software —Ciudad de México, CDMX
- $1,470,000 a $2,450,000 por año
- Azure
- Salesforce
- SQL
Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico
Speechify —Ciudad de México, CDMX
- Home Office (Desde casa)
- Doctorado
- Informática
- Maestría
Scientist II
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Inglés
- Licenciatura
12d
ML Ops Engineer JR
Ucloud —Ciudad de México, CDMX
- DevOps
- Python
Postulación rápida
AML QA Analyst
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Inglés
- SQL
- Seguro dental
- Seguro de la vista
Postulación rápida
7d
AI / ML Engineer
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Data Engineer
entropia AI —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Java
- SQL
Postulación rápida
Marketing Data Scientist
Vonage —Ciudad de México, CDMX
- Home Office (Desde casa)
- Microsoft Excel
- Azure
- Doctorado
Postulación rápida
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
5d
Scientist, Senior
Infor —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- SQL
- Python
14d
Fraud Operations Analyst
Sezzle —Ciudad de México, CDMX
- $1,500 a $2,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Experiencia en bases de datos
- SQL
Senior Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Salesforce
- Experiencia en bases de datos
Business Intelligence Analyst, NCRC & RCX, LATAM CFX
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Oracle
- Java
2d
Decision Intelligence Analyst - Mexico City
ailylabs —Ciudad de México, CDMX
- Azure
- Informática
- SQL
Postulación rápida
Senior Product Manager - Everand & Fable
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- Gestión de productos
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
11d
Cost Specialist Sr (Data Center)
AECOM —Ciudad de México, CDMX
- Tiempo completo
- Recursos humanos
- Presencial
- Liderazgo
- Plan de adquisición de acciones empresariales
- Seguro dental
Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Java
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

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Senior Data Scientist, DTC

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

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Looker
Doctorado
Informática
Kubernetes
D3.js
Spark
R
Matemáticas
Google Cloud Platform
Tableau
Maestría
Algoritmos
SQL
Docker
JavaScript
Capacitación
Kafka
Visualización de datos
Gestión de venta al por menor
Python
Mejora de procesos de negocios
Hadoop

Descripción completa del empleo

Job Location: Multiple (Mexico, Brazil, Bolivia, Chile, Colombia, Peru)

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.

At Levi Strauss & Co, we are revolutionizing the apparel business and redefining the way denim is made.

We are taking one of the world's most iconic brands into the next century: from creating machine learning-powered denim finishes to using block-chain for our factory workers' wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supply chain.

Be a pioneer in the fashion industry by joining our global Data, Analytics & AI "startup with assets," where you will have the chance to build exciting solutions that will impact our global business across continents.

As a Senior Data Scientist you will be a technical leader within the global Data, Analytics and AI team, driving the design and delivery of advanced analytics, machine learning, and AI solutions that address our consumers' needs while streamlining our processes and approaching the business in more innovative ways. This role will focus on applications of Data, Analytics, and AI to DTC. Potential areas of application of AI include CLTV, CRM optimization, Segmentation, Recommendations, Personalization and Agentic implementations among others.

In this role, you will own the technical direction of key workstreams, influence the team’s roadmap, and serve as a bridge between data science and business stakeholders across regions. You will drive innovation, machine learning operationalization, adoption of data products, and data visualization / user interfaces / storytelling that put data at the center of our business. This role will aim to drive revenue and reduce cost through cross-region implementation, automation and business process improvement.

You will be expected to raise the technical bar across the team: mentoring Data Scientists, establishing best practices, conducting code and model reviews, and contributing to the global Data, Analytics & AI community by sharing your knowledge and leveraging other colleagues’ experience in designing scalable, global solutions.

About the Job

Own and drive the technical direction of multiple roadmap workstreams, from problem framing through production deployment, partnering with teams across the global organization.

Lead the design of complex ML/AI solutions using advanced ML, deep learning, and generative AI techniques to solve high-impact retail and consumer problems.

Act as the primary technical point of contact for business stakeholders on assigned workstreams, translating business problems into data science solutions and communicating results to non-technical audiences.

Mentor and coach Data Scientist 1 and Data Scientist 2 team members, providing technical guidance on modeling approaches, code quality, and career development.

Conduct advanced statistical analysis to provide applicable insights, identify trends, and measure performance.

Build complex predictive models using ML, DL, and GenAI techniques with production-quality code and jointly own complex data science workflows with the Data Engineering and ML Engineering teams.

Define and enforce best practices for model development, testing, documentation, and deployment within the team.

Scan the Data Science landscape for recent developments and proactively identify opportunities to integrate new methodologies into the existing project portfolio.

Contribute to architectural decisions on the team’s ML/AI infrastructure, including model serving, feature stores, and observability.

Research best practices, conduct experiments, and build relationships with industry leaders and technology partners (e.g., Google, cloud vendors).

Ensure that the risks associated with projects are raised and mitigated to keep all projects on track.

Represent the Data Science team in cross-functional forums, technical reviews, and vendor evaluations.

About You

Required Technical Skills

5+ years of hands-on experience analyzing data and developing supervised and unsupervised models; including variable selection, feature engineering, model generation, model diagnostics, interpretability, and deployment.

5+ years of experience writing complex SQL queries and working with large datasets in cloud/Hadoop-based environments. Experience writing BigQuery and dbt jobs.

5+ years of experience with data visualization tools (D3.js, R Shiny, Looker, Tableau, or similar); able to determine the appropriate visualization for a variety of data types and create compelling stories with data.

5+ years of experience deploying Machine Learning algorithms in a production environment.

3+ years of experience developing Deep Learning based solutions for a production environment.

Experience with Generative AI and LLMs — prompt engineering, RAG architectures, fine-tuning, and/or agentic AI frameworks (e.g., LangChain, Google ADK, or similar).

Experience working with different cloud services to develop ML solutions with special focus on Google Cloud Platform (Vertex AI, BigQuery ML, Cloud Run).

Expert-level Python, R, or similar programming skills.

Demonstrated experience mentoring junior and mid-level data scientists.

Experience with experiment design and causal inference methods (A/B testing, uplift modeling, difference-in-differences).

Experience with distributed systems (Docker, Kubernetes, Kafka, or Spark).

Experience in Reinforcement Learning is a plus.

Desired Education and Experience

Master’s/Ph.D. degree (computer science, applied mathematics, applied statistics, data science, or related technical discipline).

Overall 5+ years (with Master’s) or 3+ years (for Ph.D.s) of professional experience in Data Science, Machine Learning, Mathematics, Applied Statistics, or Operational Research in the tech or retail industry.

Track record of delivering end-to-end ML solutions that drove measurable business impact (revenue, cost savings, or efficiency gains).

Prior experience in a senior or lead data scientist capacity, with evidence of influencing team practices and stakeholder decisions.

LOCATION

Mexico, D.F., Mexico

FULL TIME/PART TIME

Full time

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

Postulación rápida

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data scientist empleos en san pablo cdmx

Senior Data Scientist, DTC

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Software Engineer, Data Infrastructure & Acquisition - Mexico City, Mexico

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Data Engineer

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Senior Data Engineer

Business Intelligence Analyst, NCRC & RCX, LATAM CFX

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