Agilent Technologies
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.
Demand Planning Data Scientist
Job not on LinkedIn
🔥 1 hour ago
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Agilent Technologies
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
• Lead the development and implementation of predictive models to forecast product orders across various geographies. • Collaborate with Demand Planners to discuss and understand the impact of IBP deviations. • Communicate Analytical Gains and articulate the benefits of statistical models to business functions. • Analyze large datasets to identify trends, patterns, and insights that inform business decisions.
🎯 Requirements
• Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field. • Typically, at least 1-2+ 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.
🏖️ Benefits
• Option to work remotely • Competitive salary based on location and experience
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