Lead 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 lead in Data analytics for Operations? Do you enjoy data science? Then read on!

We are currently seeking a Lead 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: Lead in-depth data analysis to identify trends, patterns, and opportunities within the supply chain data, offering valuable insights to drive business impact and make strategic recommendations.
• Data Integration: Collaborate with data engineers to integrate data from various sources, ensuring data quality and reliability, as well as scalability and automation of analysis.
• Model development: inventory, network and transportation optimization models, predictive analysis, time series forecasting, simulation models.
• Coordinate: Guide business intelligence analysts, junior scientists, and engineers to produce intuitive and informative visualizations, reports, and dashboards to communicate findings and recommendations to stakeholders.
• Continuous improvement: Stay up to date with the latest data science techniques, tools, and technologies, and propose their application by building business cases.

The required qualifications for the job include:

• Bachelor’s with 9 years of experience or Master’s with 7 years of experience or Ph.D with 4 years of experience in Operations Research, Computer Science, Mathematics, Information Technology, Engineering or related field.
• Proven experience as a data scientist and project/people leader managing resources, delivering projects and demonstrating excellent communication, teamwork and mentoring skills.
• Strong proficiency in programming languages (Python, C++, Java, Scala), ETL (SQL, Informatica) and data platforms (Snowflake, Fabric, Oracle)
• Strong expertise in supervised and unsupervised machine learning and in using data science libraries (NumPy, Pandas, Scikit-learn etc.).
• Experience leading in an Agile environment (Jira, Azure DevOps, Kanban…)
• Experience in supply chain, logistics, materials, inventory management, supply and demand planning or manufacturing.

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

• Familiarity with BI and visualization tools (MS Power BI, Matplotlib, Seaborn).
• Familiarity with Apache Spark/Databricks

At Danaher we bring together science, technology and operational capabilities to 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. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. 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.