IBP Supply Planning Data Scientist

Provide data-driven insights, dashboards, and scenario modeling to support supply planners, S&OE/S&OP processes, and enterprise decision-making

Drive continuous improvement in supply and inventory analytics, data quality, and model reliability

Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights

Partner with Supply Planning Stewards to align analytics with standards, governance, and process maturity efforts

Build, maintain, and enhance inventory optimization models (safety stock, segmentation, variability-based rules, reorder logic)

Refresh inventory targets across the portfolio and ensure alignment with service expectations, demand patterns, and supply constraints

Monitor and tune critical inventory parameters (lead times, variability, cycle stock inputs, yield factors) based on actual system performance

Analyze inventory health (target adherence, shortages, excess, age, replenishment performance) and provide insights to planners and leaders

Provide inventory-focused scenario analysis for demand changes, supply disruptions, or service-level shifts

Support supply planners with modeling supply capability (RCCP, constraints, capacity modeling, yield/throughput assumptions)

Generate dashboards and KPIs that reflect supply plan stability, attainment, constraint exposure, and readiness

Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators

Develop and maintain supply-focused models (scenario models, coverage calculators, constraint dashboards) for decision support

Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.

Typically, at least 8 years of experience in data science or equivalent work experience.

Extensive knowledge in predictive modeling, machine learning, and statistical analysis.

Proficiency in programming languages such as Python, R, or SQL.

Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.

Strong analytical and problem-solving skills with the ability to interpret complex data.

Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.

Ability to work independently and as part of a team in a fast-paced environment.

Strong executive presence and leadership skills.

Excellent communication skills, with the ability to effectively engage with different levels of management.

Experience in supply planning and forecasting within a commercial setting.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Knowledge of advanced machine learning techniques and frameworks.