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Full-time
bachelor degree, postgraduate degree
Posted 30d ago
Apply by Aug 14
~40 hrs/week
Spanish
Responsibilities
Develop and deploy advanced AI and machine learning solutions to optimize manufacturing performance and reduce costs. Collaborate with cross-functional teams to integrate data from disparate systems and manage the full project lifecycle from conception to commissioning.
Requirements
Requires a Bachelor's degree in Computer Science or a related field and at least 5 years of experience delivering enterprise-level data science solutions. Proficiency in Python, cloud platforms like AWS or Databricks, and experience with Generative AI and industrial protocols is expected.
Full 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.
Adaptability: 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
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).
Related keywords
Data ScienceArtificial IntelligenceGenerative AIMachine LearningPythonAWS SagemakerDatabricksRAGMLOpsLLM OpsOPC-UAMQTTIndustrial AutomationManufacturingPredictive MaintenanceAnomaly Detection
We're driven to think beyond today to build the next generation of products and experiences #WorthReachingFor
Industry
Food and Beverage Services
Company size
5,001-10,000 employees
Founded
1945
Headquarters
Rochester, New York
LinkedIn followers
215,769
Total funding
$1.9B
Constellation Brands (NYSE: STZ) 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 more 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 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 Casa Noble 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.
Offices: Rochester, New York, US · Chicago, Illinois, US · Mexico City, MX · Auckland, NZ · Pontassieve, IT
winebeerspiritsand beverage alcoholConsumer GoodsWine And SpiritsRestaurantsLogisticsMarketingWinery
How many Data & Analytics jobs are open in Ciudad de México, Mexico right now?
There are currently 1,445 open data & analytics positions in Ciudad de México, Mexico listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Ciudad de México, Mexico?
Companies currently hiring include Banco Mercantil del Norte - Banorte, Amazon, BBVA, Mercado Libre, HSBC, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Ciudad de México, Mexico?
Yes — 724 of the 1445 open data & analytics positions offer remote or hybrid work (164 remote, 560 hybrid).
How do I apply for Data & Analytics jobs in Ciudad de México, Mexico?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.