[Hiring] Data AI Co-op @Danaher Corporation

Role Description

The Supply Chain AI Co-op is responsible for the development of data products, analytics solutions, and AI capabilities that improve inventory optimization, demand planning, fulfillment, and supply chain visibility across Danaher operating companies. This position reports to the Manager, Solution Architect Engineering and is part of the Supply Chain AI - Danaher Organization working remotely to cover Indiana (IN) state.

In this role, you will have the opportunity to:

• Support the design and development of data pipelines using modern cloud data platforms.
• Assist in building analytical models and dashboards for supply chain planning and operational decision-making.
• Perform data profiling, cleansing, validation, and quality assessment across supply chain datasets.
• Develop SQL, Python, and data engineering solutions to support business initiatives.
• Participate in AI and machine learning proof-of-concepts focused on forecasting, inventory optimization, and supply chain insights.
• Collaborate with business stakeholders, solution architects, data engineers, and data scientists.
• Contribute to documentation, testing, and deployment activities for analytics and AI solutions.

Qualifications

• Currently pursuing a bachelor’s or master’s degree in computer science, Data Science, Information Systems, Industrial Engineering, Supply Chain, Analytics, or a related field.
• Experience with SQL and at least one programming language such as Python.
• Understanding data analysis, statistics, or machine learning fundamentals.
• Familiarity with cloud-based data platforms, data engineering concepts, or AI technologies.
• Strong analytical and problem-solving skills.

Requirements

• It would be a plus if you also possess previous experience in:
• Snowflake, Databricks, Azure, AWS, or similar cloud platforms.
• Supply chain analytics, inventory optimization, forecasting, or operations research.
• Data visualization tools such as Power BI or Tableau.

Benefits

• The hourly range for this role is $30.00. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.