IBP Supply Planning Data Scientist

Agilent Technologies; Cedar Creek (NE); On-site; USD 120,000 - 180,000; Full time

Job summary

Agilent Technologies is seeking an experienced Data Scientist IBP to lead data-driven insights and advanced analytics across global demand and supply planning. You will build and automate inventory models, dashboards, and KPIs to support enterprise decisions and ensure planning maturity.

The role emphasizes cross-functional collaboration, strong communication, and leadership to drive the Ignite IBP transformation journey.

Qualifications

• Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field.
• Typically, at least 8 years of data science experience.
• Proficiency in Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, Qlik, or Spotfire.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Excellent written and verbal communication; able to present to non-technical stakeholders.

Responsibilities

• Provide data-driven insights, dashboards, and scenario modeling to support supply planners and enterprise decisions.
• Drive continuous improvement in supply and inventory analytics, data quality, and model reliability.
• Drive automation and advanced analytics using Python, SQL, and BI tools.
• Build, maintain, and enhance inventory optimization models and targets.
• Generate dashboards and KPIs reflecting plan stability, constraints, and readiness.
• Develop near-term supply-demand analytics and early warning indicators.

Skills

Python

SQL

R

Tableau

Power BI

Analytics

Communication

Leadership

Teamwork

Problem solving

Education

Bachelor's or Master's in Data Science/Statistics/CS

Tools

Tableau

Power BI

Qlik

Spotfire

Job description

Job Description

Integrated Business Planning (IBP) brings together forecasting and planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.

Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing Global Demand & Supply Planning Teams, and a centralized Planning Excellence Team (PET). Collectively, this new structure will continue to lead our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The IBP Supply Planning Data Scientist role will bring key data scientist capabilities to this effort.

Principle Duties/Responsibilities

• 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

Qualifications

• 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.

Preferred Qualifications

• 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.

Additional Details

This job has a full time weekly schedule.

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel Required

Occasional

Shift

Day

Duration

No End Date

Job Function

Administration