Data Engineer - Singapore - Merck KGaA Darmstadt Germany

Merck KGaA Darmstadt Germany

Verified Company

Singapore

2 weeks ago

Posted by:

Wei Jie

beBee Recruiter

Description

Work Your Magic with us

Ready to explore, break barriers, and discover more? We know you've got big plans - so do we Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics.

Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Your Role:

You will leverage machine learning algorithms, libraries, and tools to construct models that address specific challenges.

Additionally, you will employ data analysis, data mining, and data processing methods to present information in a clear and concise manner.

**Who You Are: - Strong engineering background preferred (Computer Science, Mathematics, Software Engineering, Physics, or Data Science).

Knowledge and experience in data modeling, data mining, statistical analysis, and predictive analytics.
Familiarity with statistical analysis techniques (multivariate analysis) e.g., PLS, PCA.
Highly analytical mindset and be eager to tackle technical problems using various data structures, storage systems, frontend frameworks, and technical tools.
A strong understanding of machine learning algorithms and statistical learning models.
Experience or interest in using largescale semiconductor data to solve business problems.
Strong coding experience (Python, PySpark, SQL).
Prior experience with Palantir Foundry preferred.
Demonstrated ability to collaborate effectively within teams and be comfortable in a dynamic and evolving environment.
Desire to continuously learn, work independently, and make decisions with mínimal supervision.
Ability to travel 1525% for collaboration with teams in the Asia-Pacific region.

What we offer:
We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences.

We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology.

We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress