Computer Science/Data AI Co-op Supply Chain

At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.

Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.

Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.

Learn about the Danaher Business Syste m which makes everything possible.

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.

The essential requirements of the job include

• 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.

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.

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.

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 Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.

The U.S. EEO posters are available here (http://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here (https://jobs.danaher.com/global/en/notice-to-us-candidates-based-in/applying-for-roles-outside-nyc)

We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or [email protected].