14 publicaciones de empleo destacadas de sql en city, hid (¡Están contratando!)

Senior Data Science Manager
Oliver Wyman —City, Hgo.
- Tiempo completo
- Administración de personal
- Informática
- Inglés
Business Analyst
Movado Group, Inc. —City, Hgo.
- Tiempo completo
- Microsoft Excel
- Oracle
- ERP systems
Project Lead TMT
Bain & Company Inc —City, Hgo.
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Administración de personal
Senior .NET Consultant
ION —City, Hgo.
- Tiempo completo
- Informática
- Inglés
- SQL
Senior .NET Consultant
Lab49 —City, Hgo.
- Tiempo completo
- Informática
- Inglés
- SQL
Data Steward Manager, Coro
Bain & Company Inc —City, Hgo.
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
Senior Data Engineer (Hybrid)
Simplepractice —City, Hgo.
- Administración de personal
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
Implant Sr Reclutamiento
Kelly Services de México —Tultepec, Méx.
- Lunes a viernes
- Trabajo híbrido
- Microsoft Excel
- Análisis de datos
- Experiencia en bases de datos
- Seguro de vida
Postulación rápida
14d
Sales Engineer
SAMBA TV —City, Hgo.
- Tiempo completo
- Bilingüe
- Azure
- Administración de personal
Senior DevOps Engineer
ION —City, Hgo.
- Tiempo completo
- Azure
- DevOps
- Inglés
IT Infrastructure Engineer (Cybersecurity)
l'Oréal —México, Méx.
- Tiempo completo
- Azure
- Administración de personal
- Linux
Postulación rápida
Senior Murex Integration Developer
Bounteous —City, Hgo.
- Oracle
- SQL
- Linux
Manager, Inbound Sales Development - Mexico
Jumpcloud —City, Hgo.
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Experiencia en ventas
- Salesforce
Senior DevOps Engineer
Lab49 —City, Hgo.
- Tiempo completo
- Azure
- DevOps
- Inglés

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Senior Data Science Manager

Oliver Wyman -
City, Hgo.

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Información del empleo

Tiempo completo

Cualificaciones

TensorFlow
Power BI
Administración de personal
Derecho
Informática
PyTorch
SAS
NumPy
R
Inglés
Tableau
Stata
Administración del desempeño
Maestría
Experiencia en bases de datos
SQL
Pandas
Licenciatura
Capacitación
S3
Visualización de datos
Python
Debugging
Ciencia de los datos

Descripción completa del empleo

Company:

Oliver Wyman

Description:

Senior Data Science Manager

We are seeking a Senior Data Science Manager to join our team at Marsh. This role will be based in Mexico City. This is a hybrid role that has a requirement of working at least three days a week in the office. As a Senior Data Science Manager at Marsh, you will be working with data scientists, economists, and analysts; ensuring that data, platforms, tools, and workflows are reliable, scalable, and production ready. The ideal candidate is a hands-on technologist and manager who understands how analytics teams work and can translate their needs into well-run data platforms and operational processes.

We will count on you to :

Serve as the technical and operational leader of analytics platforms, data pipelines, and workflows that support data scientists and analysts.
Partner closely with data science and analytics teams to understand their data, tooling, and environment needs, and translate those into robust, scalable solutions.
Support and manage analytics tools and environments, including Databricks, SAS, R, and STATA, ensuring stability, access, performance, and proper usage.
Develop and maintain production-quality code for data processing, orchestration, automation, and reporting, primarily using Python and SQL.
Establish and enforce best practices for analytics operations, including version control, testing, deployment, and ongoing support.
Monitor and optimize data pipelines and analytics environments for performance, cost, and data quality.
Act as a key liaison between analytics teams and core technology functions (cloud, infrastructure, security, and governance).
Provide hands-on technical leadership and mentorship to team members responsible for analytics operations and data engineering.

What you need to have :

Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related quantitative field.
5+ years of experience in analytics operations, data engineering, or analytics platform support including platforms like Databricks, AWS S3, Athena, Glue, or comparable enterprise cloud services.
Strong programming and debugging skills in Python with expertise in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Proficient in SQL and experienced with enterprise database management and data.
Strong analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts for diverse audiences.
Experience working in enterprise environments with strict data governance, security, and compliance requirements.
People management skills, including hiring, mentoring, performance management, and employee development.
Advanced Level of English is a Must

What makes you stand out :

Experience with GenAI, ChatGPT API integration, and working knowledge of large language models (LLM) and retrieval-augmented generation (RAG).
Proficiency in data visualization tools such as Power BI, Tableau, or equivalent.
Familiarity with REST API development and integration

Why join our team :

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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