Senior Supply Chain Data Scientist

Employment Type: Full time Location Type: Remote

Position Overview

Danaher, a global science and technology innovator, is seeking a highly skilled Senior Supply Chain Data Scientist to join its Supply Chain AI team. Reporting to the Principal Supply Chain AI Scientist, this role is instrumental in developing and deploying advanced Operations Research (OR), Machine Learning (ML), and Artificial Intelligence (AI) models to optimize supply chain functions across the enterprise. This is a remote position.

Key Responsibilities

• Lead the design, development, and implementation of OR/AI/ML models tailored to specific supply chain areas, including:
  • Demand forecasting and sensing
  • Inventory optimization
  • Transportation and logistics routing
  • Supplier risk prediction
  • Production planning and network optimization
• Develop and deploy generative AI models for supply chain use cases, including fine-tuning large pre-trained LLMs, evaluating model performance, and continuously iterating to optimize solutions.
• Collaborate cross-functionally with supply chain, engineering, IT, and business solution implementation teams to ensure technical solutions align with business needs.
• Partner with solution architect engineers to enable appropriate data flow and data models, utilizing suitable tools and technologies for rapid prototyping, testing, and deployment.
• Ensure models are robust, scalable, and production-ready, incorporating clear monitoring and feedback loops.
• Stay abreast of emerging technologies in the field and introduce innovative approaches to supply chain optimization.

Essential Requirements

• PhD or Master’s degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field.
• 5+ years of experience in applied OR/AI/ML roles, with a minimum of 3 years focused on supply chain problems.
• Strong expertise in optimization, regression, classification, time series analysis, and deep learning.
• Proficiency in programming languages such as Python, Java, Scala, or similar.
• Strong hands-on experience in developing and implementing Operations Research models and Machine Learning models to address supply chain challenges.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Snowflake).
• Excellent communication skills, with the ability to engage effectively with both technical and non-technical stakeholders.

Preferred Qualifications

• Knowledge of core business processes (Supply Chain, Operations) gained through direct experience in these functions.
• Experience with AI agent solution development.
• Familiarity with ERP enterprise supply chain systems such as Oracle or SAP.

About Danaher

At Danaher, our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms: life sciences, diagnostics, and biotechnology. We offer the opportunity to build a meaningful career, be creative, and take risks with the support needed for success. Our associates are driven by a shared commitment to continuous improvement, as evidenced by our consistent outperformance of the S&P 500. The Danaher Business System underpins our success, making everything possible.

We partner with customers worldwide to solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

Danaher values diversity and the unique perspectives that our associates, customers, and shareholders bring through their visible and invisible attributes.