Scientist Jobs

About The Position

Requirements

• Bachelor in Data Science, Statistics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative discipline is required.
• 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.
• 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.
• 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.
• 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.
• 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.

Nice To Haves

• Master’s is preferred.
• 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.

Responsibilities

• Own and operate the oneNA category forecasting engine across PBUS, PFUS, and future Quaker and Canada F&B markets.
• 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.

Benefits

• 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.
• Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.