Ingeniero Senior, Ciencia de Datos

Constellation Brands; Ciudad de México; On-site; MXN 900,000 - 1,600,000; Full time

Job summary

Constellation Brands busca un Data Scientist Senior para Ciudad de México. El rol implica usar datos de líneas de producción para construir y entregar analítica avanzada, predicción, y soluciones basadas en IA que mejoren el rendimiento y reduzcan costos.

Se trabajará con IA generativa y agentes para impulsar decisiones basadas en datos. Se espera experiencia en entornos industriales, habilidades de comunicación con stakeholders y capacidad de gestión de proyectos desde la concepción hasta la

Qualifications

• Requisitos mínimos de 5+ años entregando soluciones de Data Science a nivel empresarial.
• Habilidades para comunicar resultados de analítica compleja de forma clara.
• Capacidad de trabajar en equipo y colaborar con stakeholders en distintas ubicaciones.

Responsibilities

• Desarrollar y desplegar soluciones de analítica avanzada (ML, DL, IA generativa) que integren datos de sistemas de manufactura.
• Colaborar con equipos transfuncionales para diseñar e implementar soluciones a gran escala.
• Preparar datos, realizar EDA y gestionar el ciclo de vida del modelo.
• Diseñar, construir y desplegar aplicaciones impulsadas por IA y agentes, e implementar RAG.
• Optimizar modelos para rendimiento, escalabilidad y costo.

Skills

Data science

Python

ML/AI

Communication

Team collaboration

Education

Bachelor’s degree in CS/CE/Data Science/AI/Industrial Engineering

Advanced degree preferred

Tools

Databricks

AWS SageMaker

Python ML frameworks

SQL / databases

Job description

Job Description Ciudad de México Nivel de estudios Bachelor’s Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Industrial Engineering or equivalent. Advanced degree preferred. Experiencia Requerida 5+ years delivering enterprise-level Data Science solutions Habilidades Soft Skills Team Player: Excellent communication and interpersonal skills, working effectively as part of a team and collaborating with stakeholders across different locations. Ability to tell a story with data. Ability to communicate results of advanced analytics in plain English. Adaptabilidad: Thrive in a dynamic, fast-paced work environment and adapt quickly to changing business needs. Attention to Detail: Meticulous attention to detail, ensuring data accuracy and maintaining high-quality standards in all deliverables. Technical Skills A minimum of 5 years of professional hands-on experience developing/deploying Enterprise-scale data scicene soluitons An understanding of cloud infrastructure for Machine Learning/AI ops., e.g., Databricks / AWS Sagemaker Strong problem-solving skills and the ability to troubleshoot complex data and machine learning related issues Solid understanding of a variety of machine learning algorithms. Solid understanding of developing, deploying and gaining value from Gen AI and AI (agentic) agents. Expert-level proficiency with Python Hands-on experience with machine learning and generative AI frameworks Experience deploying machine learning and AI applications in cloud-based solutions (AWS or Databricks). Strong understanding of database systems, data structures, and data processing techniques. Familiarity with OPC-UA, MQTT, and industrial automation protocols is a significant advantage Strong analytical abilities to translate business requirements into technical AI workflows Experience in a manufacturing or industrial environment preferred

Resumen

The Sr. Data Scientist, Digital Manufacturing uses data from production lines (including sensors), digital frontline worker solutions, and quality control systems to build and deliver advanced analytics, predictive modeling, machine learning, and AI solutions that improve manufacturing performance and reduce cost. The role applies statistical methods, data visualization, generative AI, and AI agents to help teams make data-driven decisions that increase productivity and efficiency, reduce waste, improve product quality, and lower total operating costs. Key focus areas include manufacturing process optimization, predictive maintenance, defect detection, utilities (energy/water) optimization, and process automation. You will be responsible for the entire project life cycle from conception through commissioning of projects that support advanced analytic initiatives.

Responsabilidades

1. Develop and operationally deploy advanced analytic decision support solutions (machine learning, deep learning, generative AI, Agentic agents, etc.) to that incorporate data from disparate manufacturing systems (MES, LIMS, CMMS, WMS, ERP, etc.) to drive process improvement and performance optimization.
2. Collaborate with cross-functional teams (Manufacturing, Operations, R&D, Quality, IT, etc.) to design and implement largescale data-driven solutions. Ensure data quality, integrity, and compliance with model risk standards. Partner with technical and non-technical teams to resolve data gaps, inconsistencies, support validation activities and ensure ROI is derived from data science activities.
3. Collect, clean, and pre-process large structured and unstructured datasets to ensure they are "model-ready". Preprocess, cleanse, and manage data to ensure accuracy and quality for model input and inference.
4. Conduct Exploratory Data Analysis (EDA) using statistical techniques and data visualization to uncover patterns, relationships, and outliers. Conduct feature engineering and train/test machine learning models for real-time process monitoring/alerting, anomaly detection, quality defects and machine failure prevention/identification. Manage model lifecycle (data prep, train, test, tune, deploy, monitor performance).
5. Design, build, and deploy AI-powered applications, chatbots, and agents. Implement Retrieval-Augmented Generation (RAG). Integrate pre-trained AI models with internal data sources and external applications.
6. Optimize AI models for speed, scalability, and cost-efficiency in production environments.
7. Monitor deployed models for performance, accuracy, and latency, implementing ML/LLM Ops and using evaluation frameworks.
8. Work with technical and non-technical teams to implement models into production and translate complex findings into actionable insights for stakeholders.
9. Maintain documentation, best practices, and knowledge repositories for analytics solutions. Monitor adoption KPIs, gather user feedback, and drive continuous improvement in analytics capabilities.
10. Stay updated with the latest AI trends to enhance organizational AI infrastructure.

Location Ciudad de Mexico, Mexico Additional Locations Job Type Full time Job Area Operations and Production

Equal Opportunity

Equal Opportunity Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations). Constellation Brands (NYSE: STZ), a U.S.-based company, is a leading international producer and marketer of beer, wine, and spirits with operations in the U.S., Mexico, New Zealand, and Italy. Our mission is to build brands that people love because we believe elevating human connections is Worth Reaching For. It’s worth our dedication, hard work, and calculated risks to anticipate market trends and deliver for our consumers, shareholders, employees, and industry. This dedication is what has driven us to become one of the fastest-growing, large CPG companies in the U.S. at retail, and it drives our pursuit to deliver what’s next. Every day, people reach for brands from our high-end, imported beer portfolio anchored by the iconic Corona Extra and Modelo Especial, a flavorful lineup of Modelo Cheladas, and favorites like Pacifico, and Victoria; our exceptional wine brands including The Prisoner Wine Company, Robert Mondavi Winery, Kim Crawford, Schrader Cellars, and Lingua Franca; and our craft spirits brands such as Mi CAMPO Tequila and High West Whiskey. As an agriculture-based company, we strive to operate in a way that is sustainable and responsible. Our ESG strategy is embedded into our business and we focus on serving as good stewards of the environment, investing in our communities, and promoting responsible beverage alcohol consumption. We believe these aspirations in support of our longer-term business strategy allow us to contribute to a future that is truly Worth Reaching For. To learn more, visit www.cbrands.com and follow us on LinkedIn and Instagram. Our company participates in the E-Verify program to confirm the employment eligibility of all new hires. For more information, please refer to the required postings linked here: E-Verify Participation Poster IER Right to Work Poster