Junior Data Scientist

Beckman Coulter Life Sciences’ mission is to empower those seeking answers to life’s most important scientific and healthcare questions. With a legacy spanning 80+ years, we have long been a trusted partner to our customers, who are working to transform science and healthcare with the next groundbreaking discovery. As part of our team of more than 2,900 associates across 130 countries, you’ll help drive our vision of accelerating answers—and our commitment to excellence.

Beckman Coulter Life Sciences is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

Do you want to work in Data analytics for Operations? Do you enjoy Data Science? Then read on!

We are currently seeking a Junior Data Scientist who will be responsible for play a vital role in leveraging data to enhance our supply chain processes, improve efficiency, and drive cost savings.

In this role, you will be responsible for:

·       Data analysis: produce in-depth analysis to identify trends, patterns, and opportunities within the supply chain data, offering valuable insights to drive business impact.

·       Data Integration: Clean, prepare and transform raw data to make it suitable for analysis, ensuring data quality and reliability, working with data engineers.

·       Predictive modeling: Develop advanced predictive models and algorithms to optimize inventory management, demand forecasting, material procurement, KPI optimization.

·       Continuous improvement: Stay up to date with the latest data science techniques, tools, and technologies, and propose their application by building business cases.

·       Supply chain, logistics, materials, supply and demand planning: Driving operations key performance indicators optimizations through machine learning.

The required qualifications for the job include:

·       Bachelor’s with 3 years of experience or Master’s with strong academic record in Mathematics, Computer Science, Information Technology, Engineering or related field.

·       Proficiency in programming languages (Python, R, Julia, Scala), ETL (SQL, Informatica, Apache Spark/Databricks) and data platforms (Snowflake, Fabric, Oracle)

·       Experience in supervised and unsupervised machine learning and in using data science libraries (NumPy, Pandas, Scikit-learn, TF, Keras, XGBoost etc).

·       Experience working in operations, manufacturing or engineering.

It would be a plus if you also possess previous experience in:

·       Data visualization or Business Intelligence: Power BI
·       Deployed platform for GenAI/NLP.

·       Experience in Agile environments (Jira, Azure DevOps, Kanban…) and using data science platforms.

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.

At Danaher, we value 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.