Lead Data Scientist

4 days ago

Bangalore, India Danaher Corporation Full time

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.

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

  • 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 Mathematics, Computer Science, 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, R, Julia, Scala), ETL (SQL, Informatica, Apache Spark/Databricks) and data platforms (Snowflake, Fabric, Oracle)

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

  • Familiarity with BI and visualization tools (MS Power BI, Matplotlib, Seaborn).

  • Experience leading in an Agile environment (Jira, Azure DevOps, Kanban…)

  • Must be objective and measurable, eg. education, years of experience per GCRF job leveling guidelines (do not cap years of experience), specific systems proficiency or industry experience. Do not include soft skills.>

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

  • Supply chain, logistics, materials, supply and demand planning or quality.

  • Deployed platform for GenAI/NLP.

At Beckman Coulter Life Sciences we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Beckman Coulter Life Sciences can provide.

We offer comprehensive package of benefits including paid time off, medical insurance to eligible employees.

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.

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