Integrated Business Planning (IBP) brings together forecasting and supply 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 a centralized Planning Excellence Team (PET). This team will continue our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The IBP Data Scientist role will bring key data scientist capabilities to the PET team.
As the IBP Data Scientist, you will be responsible for supporting the fast-paced development and continued maintenance of demand, inventory, and supply planning models, refreshing 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 demand and supply planners, S&OE/S&OP processes, and enterprise decision-making
Drive continuous improvement in analytics, data quality, and model reliability
Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
Partner with more senior team members to align analytics with standards, governance, and process maturity efforts
Generate dashboards and KPIs that to support IBP governance and forum discussions
Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
Bachelor's or Master's Degree or equivalent in data science, statistics, computer science, or related field.
Post-graduate, certification, and/or license are a plus.
Ability to work independently and as part of a team in a fast-paced environment.
Preferred skills include:
Knowledge in predictive modeling, machine learning, and statistical analysis preferred.
Programming languages such as Python, R, or SQL.
Data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
Strong analytical and problem-solving skills with the ability to interpret complex data.
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. It includes the option to work remotely.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 related field
- Ability to work independently and as part of a team in a fast-paced environment
- Post-graduate education, certification, and/or license
- Knowledge in predictive modeling, machine learning, and statistical analysis
- Programming experience in Python, R, or SQL
- Experience with data visualization tools such as Tableau, Power BI, Qlik, or Spotfire
- Familiarity with cloud platforms such as 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.
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