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.
As the IBP Supply Planning Data Scientist, you will be responsible for developing and maintaining advanced inventory and supply planning models, refreshing portfolio inventory targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.
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
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/locationsAgilent 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: OccasionalShift: DayDuration: No End DateJob Function: AdministrationSkills Required
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field
- At least 8 years of experience in data science or equivalent work experience
- Extensive knowledge of predictive modeling, machine learning, and statistical analysis
- Proficiency in Python, R, or SQL
- Experience with Tableau, Power BI, Qlik, Spotfire, or similar data visualization tools
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills, including presenting technical information to non-technical stakeholders
- Ability to work independently and collaboratively in a fast-paced environment
- Strong executive presence and leadership skills
- Experience in supply planning and forecasting within a commercial setting
- Familiarity with AWS, Azure, or Google Cloud
- Knowledge of advanced machine learning techniques and frameworks
Agilent Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agilent Technologies and has not been reviewed or approved by Agilent Technologies.
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Retirement Support — The core U.S. package highlights a generous 401(k) match as a strength. Retirement programs are positioned as competitive within the company’s total rewards.
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Equity Value & Accessibility — An Employee Stock Purchase Plan at a discount provides accessible equity and augments total compensation. Ownership opportunities are presented as a notable advantage alongside retirement benefits.
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Leave & Time Off Breadth — Flexible Time Off, company holidays, a personal holiday, and paid volunteer time create a broad leave offering. Time off can accrue into multiple weeks in the first year, supporting flexibility.
Agilent Technologies Insights
What We Do
Analytical scientists and clinical researchers worldwide rely on Agilent to help fulfill their most complex laboratory demands. Our instruments, software, services and consumables address the full range of scientific and laboratory management needs—so our customers can do what they do best: improve the world around us. Whether a laboratory is engaged in environmental testing, academic research, medical diagnostics, pharmaceuticals, petrochemicals or food testing, Agilent provides laboratory solutions to meet their full spectrum of needs. We work closely with customers to help address global trends that impact human health and the environment, and to anticipate future scientific needs. Our solutions improve the efficiency of the entire laboratory, from sample prep to data interpretation and management. Customers trust Agilent for solutions that enable insights...for a better world.
