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

Sr. Data Scientist
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Sales Development Representative - Mexico City
Geotab —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Servicio al cliente
- Seguro dental
- Permiso de maternidad y paternidad
Sr Data Engineer - Music DISCO, Music DISCO
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Java
- SQL
- JavaScript
AI Engineer
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Senior Regional Revenue Operations Partner, LATAM
Geotab —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- Salesforce
Senior Software Development Engineer, Big Data
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Informática
- SQL
- Licenciatura
Practice Lead
Palo Alto Networks —Ciudad de México, CDMX
- Azure
- Liderazgo
Data Engineering Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Oracle
- Informática
- ERP systems
- Seguro dental
- Seguro de la vista
Senior AI Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Informática
- Maestría
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
Data Scientist/Engineer - Early Career
Shift Technology —Ciudad de México, CDMX
- Tiempo completo
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
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
2h
CRM Architect
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Experiencia en ventas
- SQL
Product Data Specialist - Marketing,
OSRAM S.A. de C.V., Naucalpan, Mexico —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Excel
- Administración de personal
- SQL
Postulación rápida
Senior Software Engineer
Umba —Ciudad de México, CDMX
- DevOps
- Java
- JavaScript
Postulación rápida
Sr. Software Development Engineer (Tech Lead), Devices Sales & Customer Experience
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Experiencia en ventas
- Java
Managing Consultant, Advisors & Consulting Services, Performance Analytics
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Inglés
11d
Senior Python Developer – IA / LLMs
IES-Systems —Del Valle Centro, CDMX
- $20,000 a $30,000 por mes
- Tiempo completo
- Trabajo híbrido
- Inglés
- Desarrollo de software
- Habilidades de comunicación
- Oportunidades de crecimiento
- Seguro de vida
Postulación rápida
Data Engineer Senior with GCP and Python - MX-Any City
Globant —Ciudad de México, CDMX
- Oracle
- DevOps
- SQL
7d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática

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Sr. Data Scientist

Zillow.com -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Estadísticas
Informática
R
Matemáticas
SQL
Licenciatura
Python

Descripción completa del empleo

About the team

The Senior Specialist, Data Science applies advanced analytical methods and machine learning techniques to solve complex business problems, generate actionable insights, and improve Zillow’s products and customer experiences. The role independently drives end‑to‑end data science projects, partnering with cross‑functional teams to define problems, build and evaluate models, and translate findings into scalable, data‑informed decisions.

About the role

- Lead end‑to‑end data science projects from problem framing and hypothesis design through model development, validation, and deployment, ensuring solutions are aligned with strategic business goals and customer needs. - Develop advanced statistical and machine learning models (for example, prediction, recommendation, or optimization) using large, complex datasets, and rigorously evaluate performance to improve accuracy, fairness, and robustness. - Design and implement efficient data pipelines, feature engineering approaches, and experimentation frameworks in partnership with data engineering and product teams to enable scalable, repeatable analyses and model delivery. - Translate complex quantitative findings into clear, compelling insights and recommendations for technical and non‑technical stakeholders, informing product roadmaps, operational decisions, and measurable business outcomes. - Collaborate closely with product, engineering, analytics, and business partners to identify high‑impact opportunities, define success metrics, and prioritize data science work based on customer value and feasibility. - Establish and advocate for best practices in data quality, model monitoring, documentation, and responsible AI usage, helping to continuously improve the reliability and trustworthiness of data‑driven solutions. - Mentor less experienced team members by sharing domain knowledge, reviewing work, and contributing to a culture of learning, experimentation, and continuous improvement in data science methods and tools.

This role has been categorized as a teleworker position. Teleworkers do not have a permanent corporate office workplace and instead work from a physical location of their choice, which must be identified to the Company. Employees may live anywhere in Mexico, with availability to travel to Mexico City, as we recommend attendance at occasional office events.

In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance and location.

Who you are

- Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field. - 8+ years of professional experience applying statistical analysis, machine learning, or advanced analytics to real‑world business problems in a data‑driven environment. - Demonstrated experience working with large, complex datasets using programming languages such as Python or R and querying languages such as SQL. - Experience designing and evaluating experiments or other causal inference approaches, and using metrics to assess model and product impact. - Experience collaborating in cross‑functional settings (for example, with product, engineering, or operations teams) to deliver and operationalize data science solutions at scale. Or an equivalent combination of education and experience.

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you’ll be part of a company that's reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2025 , and included on the PEOPLE Companies That Care® 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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