Posted 11 hours ago

IBP Supply Planning Data Scientist

SG20 Agilent Technologies Singapore Singapore, Singapore-Yishun
Onsite Full Time
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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. 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

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 Graduate and Student Career Site Visit our career site and learn more about Agilent Watch our video playlist to get a glimpse of life at Agilent! As a global leader in laboratory and clinical technologies, we are passionate about bringing great science to life. Our commitment to quality and innovation supports cutting-edge life science research, patient diagnostics, and ensures the safety of water, food, and pharmaceuticals. As scientists and clinicians pursue small, everyday advances and life-changing discoveries, we provide trusted answers to their most critical questions and challenges. Leveraging more than 50 years of expertise, we create advanced instruments, software, and consumables supported by teams of highly skilled and knowledgeable people. With 18,000 employees around the world, our global reach and comprehensive solutions provide the most reliable and accurate results, as well as optimal scientific, economic, and operational outcomes. We work collaboratively with our customers on their journey to make a real difference in human lives. Our culture is founded on trust, respect, and uncompromising integrity, and we pride ourselves on being a dynamic and inclusive workplace that celebrates diversity and fosters innovation. We can’t wait for you to join us as we continue our mission to improve the world around us. Information about Agilent is available at Agilent.com.

Skills and functions

  • Aws
  • Azure
  • Data Science
  • Gcp
  • Human Resources
  • Machine Learning
  • Marketing
  • Python
  • Sql