Global Supply Chain Data Scientist

Singapore Yishunmid

Data & AISupply Chain Data Scientist

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Quick Summary

Key Responsibilities

Provide data-driven insights, dashboards, and scenario modeling to support logistics leaders and operations teams (warehouses, freight, distribution,

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Data & AISupply Chain Data Scientist

As the Global Supply Chain Data Scientist, you will develop and deploy analytics, automation, and predictive models that improve logistics cost, service, and operational scalability across the global network. You will lead cross‑functional digital initiatives from concept to rollout—translating logistics problems into data products (dashboards, models, alerts) and ensuring solutions are implemented, adopted, and sustained through strong project governance and change management.

Responsibilities

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Provide data-driven insights, dashboards, and scenario modeling to support logistics leaders and operations teams (warehouses, freight, distribution, service parts) in day-to-day and enterprise decision-making
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Build and maintain logistics KPI views covering warehouse performance, freight analytics, productivity, and operational health, with clear exception signals and root-cause paths
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Develop “control tower”-style analytics that enable early warning indicators (delays, backlog risk, capacity risk, throughput constraints).
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Drive automation and advanced analytics using Python, SQL, and BI tools to scale insight generation and reduce manual reporting effort.
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Create and maintain models for logistics use cases such as:
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Transportation analytics

Requirements

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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.

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.

25% of the Time

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No End Date

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