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# Data Science Associate Principal Scientist

- **Company:** PepsiCo, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $93,500.0 - $156,450.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Software Quality, Code Reuse, Python (Programming Language), Machine Learning, Delivery Pipeline, Model Validation, Information Technology, Machine Learning Operations
- **Published:** July 19, 2026
- **Apply:** https://www.dice.com/job-detail/cf293d9a-6007-4805-bfe4-1aa3afc77fb1

## About the Role

* Education: Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required.
 * Master's is preferred.
 * Experience: 7+ years of experience in applied data science, advanced analytics, or forecasting, including ownership of end-to-end analytical solutions in production environments.
 * Demonstrated experience developing, deploying, and maintaining forecasting or predictive modeling solutions at scale.
 * Technical Skills: Strong expertise in statistical modeling, time-series forecasting, and machine learning, including model validation, accuracy/bias assessment, and performance diagnostics.
 * Proficient in Python with a track record of writing production-quality, well-documented, and reusable code.
 * Experience working with cloud-based analytics platforms (e.g., Azure), including automated pipelines, model deployment, and runtime or cost optimization.
 * Product Ownership: Proven ability to independently own complex analytical products, including lifecycle management, roadmap definition, and continuous improvement.
 * Experience modernizing existing or fragmented methodologies and driving standardization, scalability, and governance.
 * Business Partnership: Strong experience partnering with business stakeholders to validate analytical outputs and translate insights into decisions.
 * Ability to clearly communicate complex analytical concepts to both technical and non-technical audiences.
 * Leadership: Experience providing technical leadership and mentorship to data scientists, including guidance on modeling approaches, code quality, and prioritization.
 * Demonstrated ability to lead work across multiple stakeholders and initiatives concurrently.

Preferred Qualifications

 * Experience with category-level, hierarchical, or long-term demand forecasting.
 * Familiarity with scenario simulation and advanced forecast enhancement techniques.
 * Experience supporting multi-market or multi-region analytical solutions in an enterprise setting.
 * Prior experience working in globally distributed teams.

## Description

The Data Science Associate Principal Scientist will:

 * Serve as a core owner of the GTM forecasting engine, ensuring the onboarded markets evolve into a scalable, standardized, and well-governed product.
 * Modernize inherited forecasting methodologies and drive best-in-class model design. Develop, enhance, and deploy DS modules to support category-level demand forecast accuracy, consistency, and governance.
 * Partner with demand planners and forecast analysts across business units to validate and refine outputs.
 * Lead prioritization and delivery of product enhancements aligned with the oneNA roadmap.
 * Lead a small team of data scientists, providing technical direction and coaching.


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