15 publicaciones de empleo destacadas de validation engineer en apodaca n. l. (¡Están contratando!)

Data Scientist II
Honeywell —Monterrey, N. L.
- Tiempo completo
- Azure
- Informática
- Análisis de datos
9d
Senior Data Engineer
Honeywell —Monterrey, N. L.
- Tiempo completo
- Microsoft Excel
- Azure
- DevOps
Sr Data Science Manager
Honeywell —Monterrey, N. L.
- Tiempo completo
- Azure
- Administración de personal
- Informática
9d
Controls Product Engineer
KION Group AG —Guadalupe, N. L.
- Tiempo completo
- Disponibilidad para viajar hasta un 50 %
- Inglés
- C++
Senior System Architect
Aptiv plc —Monterrey, N. L.
- Seguro de vida
1d
IT Intern
Corning —Obispado, N. L.
- Informática
- DevOps
- Desarrollo de software
Electronics Design Engineer
Clarios —San Pedro Garza García, N. L.
- Tiempo completo
- Administración de personal
Senior CAE Thermal Engineer - Automotive Lighting (FloEFD Specialist)
OPmobility —Monterrey, N. L.
- Administración de personal
AUTOMATION EGINEER LIGTHING
OPmobility —Monterrey, N. L.
- Inglés
- Maestría
- Ensamblaje
Quality Manager
Solventum —Guadalupe, N. L.
- Tiempo completo
- Administración de personal
- Licenciatura
- Mejora continua
Data Analyst
Tillster —Monterrey, N. L.
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Análisis de datos
- SQL
Postulación rápida
Tooling Maintenance Engineer
OPmobility —Monterrey, N. L.
- AutoCAD
- Mantenimiento
- Inglés
Customer Quality Manager
OPmobility —Monterrey, N. L.
- Licenciatura
- Habilidades de comunicación
BU PURCHASING SUPPLIER QUALITY PROFESSIONAL -
OPmobility —Monterrey, N. L.
- Licenciatura
- Liderazgo
Product Compliance Staff Engineer
Vistance Networks —Apodaca, N. L.
- Administración de personal
- Licenciatura
17h

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Data Scientist II

Honeywell -
Monterrey, N. L.

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Información del empleo

Tiempo completo
Hace 9 días

Cualificaciones

Power BI
Azure
Estadísticas
Informática
Plurilingüe
Spark
NumPy
Análisis de datos
Git
Inglés
SQL
Pandas
Licenciatura
Estimación y pronóstico
Experiencia en manufactura
Negocios
Python

Descripción completa del empleo

As a Data Scientist II here at Honeywell, you will build the analytics, models and data pipelines that track productivity and savings across Honeywell Technologies. You will work alongside our senior data members on the monthly reporting cycle, the analysis that explains why performance is moving, and the data pipelines that feed both. This role is roughly half data engineering and half analysis and modeling: you will build and own the pipelines together with the data engineering team – as well as building analytics and models for business decision making.

YOU MUST HAVE

Bachelor’s degree in Engineering, Computer Science, Statistics, Actuarial Science, Economics or a related quantitative discipline.
Minimum of 4 years of experience in data analysis, analytics, data science or data engineering.
Strong SQL, with the ability to write and troubleshoot complex queries independently.
Working proficiency in Python for data work, including cleaning, transformation and analysis with libraries such as pandas and numpy.
Hands-on experience building production data pipelines ingestion, transformation and quality checks using Spark or an equivalent distributed processing framework.
Experience building reports and datasets in Power BI or a comparable business intelligence tool, including the data model behind the visuals.
Practical experience building and validating at least one predictive or statistical model that was used by a business, including how its accuracy was measured.
Demonstrated experience delivering to recurring reporting deadlines with a high standard of accuracy, working independently on assigned areas.
Working proficiency in English and Spanish, written and spoken.

WE VALUE

Experience with Databricks specifically, including Delta tables, ML Flow and SDP/Pipelines.
Depth in statistics and predictive modeling — regression, classification, gradient boosting or time-series forecasting — including how model performance is validated and communicated.
Experience working in Microsoft Azure.
Familiarity with version control and collaborative development practice, such as Git.
Background in manufacturing, supply chain, procurement or finance.
Curiosity about the business behind the data, and the instinct to ask why a number moved rather than only report that it did.
Attention to detail, including the judgment to recognize when a result looks wrong and to check it before it is published.
Interest in working across data engineering, analytics and data science rather than specializing early, and ambition to progress into Data Science or Data Engineering roles.

#LI-Hybrid

Own the queries, datasets and reporting views that support the monthly savings and productivity reporting cycle and run the validation checks that must pass before the reporting is published.
Develop and maintain data pipelines that bring data in from source systems and prepare it for reporting and analysis, working to the engineering standards set by the team.
Investigate data quality issues raised by users, trace them back to the source, and implement the fix or escalate it with a clear explanation of the cause.
Build and maintain Power BI reports and datasets used by sites and regional leaders.
Perform decomposition analysis: when a KPI is off target, break performance down by region, site, savings avenue, category and stage of the funnel to identify where the movement is coming from, and present the finding with a supported explanation.
Contribute to the predictive models supporting ideation and execution: prepare and engineer the features, run exploratory analysis, build and test candidate models, and validate output against actual results.
Respond to analysis requests from the business with clear, well-presented answers, and explain what the numbers mean rather than only what they are.
Document datasets, definitions and logic so that analysis can be reproduced and maintained by others, and support less experienced team members in doing the same.

Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.

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validation engineer empleos en apodaca n. l.

Data Scientist II

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Senior CAE Thermal Engineer - Automotive Lighting (FloEFD Specialist)

AUTOMATION EGINEER LIGTHING

Quality Manager

Data Analyst

Tooling Maintenance Engineer

Customer Quality Manager

BU PURCHASING SUPPLIER QUALITY PROFESSIONAL -

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