Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, Diagnostics, BiotechnologyIndustries

Senior Supply Chain Data Scientist

Employment Type: Full time Location Type: Remote

Position Overview

Danaher is a global company with over 65,000 associates across more than 15 operating companies within 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 culture of continuous improvement, driven by the Danaher Business System, has led to significant outperformance.

The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to the Principal Supply Chain AI Scientist. This role is responsible for developing and deploying Operations Research (OR), Machine Learning (ML), and Artificial Intelligence (AI) models to optimize supply chain functions across the enterprise.

Responsibilities

  • Architect and maintain scalable, secure, and low-latency data pipelines and systems to support agentic AI applications.
  • Build and optimize data architectures to support AI/ML/OR model training, evaluation, and deployment.
  • Integrate with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel) and support modular data access by multiple agentic processes.
  • Monitor and troubleshoot data workflows, ensuring timely and accurate delivery of data to end users.
  • Collaborate with data scientists, project managers, and supply chain stakeholders to understand data needs and translate business requirements into technical solutions.

Requirements

  • Bachelor's degree with 5 years of experience OR Master's degree with 3 years of experience in Computer Science, Information Technology, Engineering, or a related field.
  • Strong hands-on experience in AI agent and AI system development.
  • Solid understanding of Large Language Models (LLMs), autonomous agents, retrieval-augmented generation (RAG), and memory architectures.
  • Strong hands-on experience with the concept and design of data pipelines utilizing cloud tools such as Snowflake, Azure, or AWS.
  • Familiarity with co-solution development environments using Scala, Java, or Python.
  • Familiarity with creating reports and visualizations using Power BI, Power App, Power Automate, or similar BI tools.

Preferred Qualifications

  • Background in OR, ML model deployment is a plus.
  • Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.

About Danaher

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them 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 existence of similarities and differences, both visible and not, found in our workforce, workplace, and throughout the markets we serve. Our associates, customers, and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Skills

Data Pipelines
Data Architecture
AI/ML/OR Model Development
LLM Orchestration
LangChain
Semantic Kernel
Data Workflows
Supply Chain Optimization
Agentic AI

Danaher Corporation

Water quality, diagnostics, and identification solutions

About Danaher Corporation

Danaher Corporation operates in key markets such as water quality, product identification, and diagnostics. The company provides precision instruments and advanced purification technologies for analyzing and managing water, ensuring its safety in various environments. In product identification, Danaher specializes in laser marking, coding, and packaging solutions that help maintain product freshness and accurate labeling throughout the supply chain. In the diagnostics sector, Danaher offers tools and software that enhance diagnostic confidence, enabling healthcare providers to deliver effective care. What sets Danaher apart from competitors is its unique Danaher Business System, which focuses on continuous improvement and empowers employees to drive change. The company's goal is to consistently deliver high-performance products and solutions while maintaining leadership in its markets.

Washington, District of ColumbiaHeadquarters
1969Year Founded
IPOCompany Stage
Industrial & Manufacturing, Healthcare, Consumer GoodsIndustries
10,001+Employees

Risks

Increased competition from Roche and Abbott in AI-driven diagnostics.
Potential regulatory challenges in the EU for water quality sector.
Supply chain vulnerabilities affecting precision instruments sourcing.

Differentiation

Danaher's Danaher Business System drives continuous improvement and superior financial performance.
The acquisition of Cytiva enhances Danaher's capabilities in the biopharmaceutical sector.
Danaher's advanced purification technologies meet increasing demands for sustainable water management.

Upsides

Danaher's investment in AI-driven healthcare solutions boosts its diagnostics capabilities.
Cytiva acquisition expands Danaher's market share in the biopharmaceutical sector.
Point-of-care testing demand drives growth for Danaher's diagnostic tools and software.

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