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PPG

Senior Data Scientist

PPG

Senior Data Scientist at PPG transforming business operations through advanced analytics and leadership. Driving measurable value and decision-making with data insights.

Posted 7/29/2026full-timeMexico City • 🇲🇽 MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in delivering end-to-end data science solutions, utilizing Python and SQL for predictive modeling, and operationalizing analytics products on modern platforms. Capable of translating complex business problems into actionable insights while providing technical leadership and mentorship.

Highest-signal resume keywords
Python ProgrammingSQL ExpertiseMachine LearningData Visualization with Power BIStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Predictive ModelingPrescriptive ModelingAnomaly DetectionForecastingOptimizationData TransformationAnalytics Solution DeliveryMLOps Best PracticesStatistical ModelingEnd-to-End Data Science
Soft Skills
Cross-Functional CollaborationChange ManagementStorytelling
Tools & Technologies
AzureDatabricksSnowflakeMicrosoft Fabric
Industry Keywords
ERP EcosystemSupply ChainProcurementOperations DataAnalytics Products

Tech Stack

Tools & technologies
AzureERPPythonSQL

About the role

Key responsibilities & impact
  • Lead high-value analytics use cases from problem framing through production through Project Management Office (PMO), with clear business impact.
  • Build and deploy predictive and prescriptive models (forecasting, optimization, anomaly detection) using Python and SQL.
  • Transform complex ERP Ecosystem, supply chain, procurement and operations data into reliable, usable analytical assets.
  • Operationalize analytics products using modern data platforms and MLOps best practices.
  • Deliver executive-ready insights through compelling storytelling and Power BI dashboards.
  • Partner cross-functionally to drive adoption, change, and measurable value realization.
  • Provide technical leadership and mentorship within a global analytics COE.

Requirements

What you’ll need
  • 7+ years of experience delivering end-to-end data science or advanced analytics solutions.
  • Strong expertise in Python, SQL, and machine learning/statistical modeling.
  • Experience with modern analytics platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric.
  • Experience translating ambiguous business problems into applicable analytics solutions.
  • Stakeholder management

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
  • Wellness programs