Data Science Associate Principal Scientist

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.

• 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.

• The expected compensation range for this position is between $93,500 - $156,450.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 10% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.