Data Scientist (México)

Data Scientist (México)

19 ago
|
Ingredion
|
México

19 ago

Ingredion

México

As the Data Scientist, your responsibilities will include:
Role Overview
Lead data science initiatives within the Digital Operations team, driving innovation and operational excellence across Supply Chain, Manufacturing, and Quality.
Manage and mentor citizen data scientists while spearheading complex data science projects from inception to deployment, ensuring continuous alignment with business objectives.
Leadership and Project Management
Lead and manage citizen data scientists through all phases of data science projects, providing mentorship and guidance.
Collaborate with cross-functional teams to design, scope, and prioritize data science projects, including defining data collection methods, modeling techniques, and expected outcomes.
Manage data science projects from initiation to completion, continuously revisiting and refining models to ensure they meet evolving business needs.
Develop and maintain governance principles for data science projects, ensuring best practices are followed.
Problem Analysis and Project Management
Develop advanced analytics models (predictive,



prescriptive, machine learning, simulation, statistical) to address complex business challenges in Supply Chain, Manufacturing, and Quality.
Utilize advanced machine learning and statistical techniques to perform data discovery, uncovering new correlations and interdependencies among variables that can drive operational improvements.
Lead the development of scalable data pipelines and integrate model performance management tools into existing business infrastructure.
Data Collection, Exploration, and Integration
Access and integrate data from various sources, including SQL databases and other systems relevant to Digital Operations.
Conduct data cleaning, transformation, and preprocessing to ensure data quality and readiness for modeling.
Apply statistical analysis, such as hierarchical clustering and PCA, to uncover insights.
Aid in the creation of data pipelines for more efficient and repeatab

📌 Data Scientist (México)
🏢 Ingredion
📍 México

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