Supply Planning Data Scientist

🔥 0 minutes ago

🌐 Singapore, Malaysia, +4 more countries – Remote

🇸🇬 Singapore – Remote 🇲🇾 Malaysia – Remote 🇮🇳 India – Remote 🇨🇳 China – Remote 🇺🇸 United States – Remote 🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

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Agilent Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🍽️ Food & Beverage

🏥 Healthcare

💼 Consulting

💰 $500M Post-IPO Debt on 2019-09

Food & Beverage • Healthcare • Consulting

Agilent Technologies is a global leader in the field of analytical and laboratory instruments. The company offers a diverse range of products and solutions, including gas and liquid chromatography, mass spectrometry, lab supplies, and software and informatics. Agilent serves various industries, such as biopharma, food and beverage testing, clinical diagnostics, and environmental testing. Additionally, Agilent provides comprehensive services for lab management, maintenance, and instrument repair. They focus heavily on advancing science through sustainable solutions and supporting genomics, pathology, and cancer research with advanced technologies.

📋 Description

• 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 using Python, SQL, and BI tools. • Partner with Supply Planning Stewards to align analytics with standards, governance, and process maturity efforts. • Build, maintain, and enhance inventory optimization models, including safety stock, segmentation, variability-based rules, and reorder logic. • Refresh inventory targets across the portfolio and align them with service expectations, demand patterns, and supply constraints. • Monitor and tune critical inventory parameters based on actual system performance. • Analyze inventory health 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 supply capability modeling, including RCCP, constraints, capacity modeling, and yield/throughput assumptions. • Generate dashboards and KPIs reflecting supply plan stability, attainment, constraint exposure, and readiness. • Enable S&OE/S&OP with near-term supply-demand coverage analytics and early warning indicators. • Develop and maintain supply-focused models, scenario models, coverage calculators, and constraint dashboards.

🎯 Requirements

• 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 written and verbal communication skills, including 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. • Ability to effectively engage with different levels of management. • Experience in supply planning and forecasting within a commercial setting (preferred). • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud (preferred). • Knowledge of advanced machine learning techniques and frameworks (preferred).

🏖️ Benefits

• Full-time weekly schedule • Occasional travel • Equal opportunity employment