Lead Data Scientist - AI/ML for Operations & Supply Chain

Ingredion Incorporated; Región Centro; On-site; MXN 600,000 - 900,000; Full time

Job summary

Ingredion Incorporated in Mexico is seeking a Data Scientist to lead data science initiatives within Digital Operations across Supply Chain, Manufacturing and Quality. You will mentor citizen data scientists and drive end-to-end projects from inception to deployment.

Collaborate with cross-functional teams to design data collection methods, build scalable pipelines, and deploy models. Strong communication, Agile familiarity, and travel up to 20% are required; a Master’s degree is preferred.

Qualifications

• Bachelor’s or higher in Business, MIS, Data Science, or related field.
• Master’s degree strongly preferred.
• Experience leading citizen data scientists.
• Specialization in ML/AI/data science.
• Knowledge of agile methodologies.
• Experience applying ML to forecasting, production planning, logistics, or related areas.
• Proven track record launching data science projects.
• Strong communication skills; travel up to 20%.

Responsibilities

• Lead data science initiatives within Digital Operations across Supply Chain, Manufacturing and Quality.
• Mentor citizen data scientists and drive end-to-end projects from inception to deployment.
• Collaborate with cross-functional teams to design data collection methods, modeling techniques, and outcomes.
• Develop scalable data pipelines and deploy model performance management integrations.
• Communicate findings and recommendations to stakeholders to guide decision-making.

Skills

Leadership

Mentoring

Project management

Collaboration

Agile

Communication

Forecasting

Education

Bachelor's degree

Master's degree preferred

Job description

Ingredion Incorporated in Mexico is seeking a Data Scientist to lead data science initiatives within Digital Operations across Supply Chain, Manufacturing and Quality. You will mentor citizen data scientists and drive end-to-end projects from inception to deployment.

Collaborate with cross-functional teams to design data collection methods, build scalable pipelines, and deploy models. Strong communication, Agile familiarity, and travel up to 20% are required; a Master’s degree is preferred.