Data Scientist
6 months contract, high potential to renew
Come and join us!
Do you wish to work in a world-class organization trying your hands at something you have dreamt of doing?
“FIND YOUR PLACE” by joining a world-class US Healthcare company
Get an opportunity to explore new technology, learn new skills, enjoy the diverse and open culture, engagement and care, flexible working model, career opportunities, competitive salary and bonus, and endless amenities and benefits.
Company Description:
Our client is a US healthcare company with a broadly diversified business across consumer, pharmaceutical and medical device segments. With over $93B in 2021 sales, they have more than 140,000 employees across 60 countries with a heritage of more than 130 years.
Summary:
The Asia Pacific Data Science Center of Excellence Team within organisation Innovative Medicine is looking for an extraordinary data scientist who is passionate about crafting, developing, and fielding data science solutions that drive impact for patients.
We are currently looking for an enthusiastic Data Scientist with exceptional analytical, communication and problem-solving skills to join our data science team, as we work on transformational data science initiatives that are innovating and changing the way the organization operates.
As a member of the data science centre of excellence team, you will report to the Data Science manager, and will leverage your technical and communication skills to work on maintaining existing and developing new innovative data science models and algorithms. Your ability to learn quickly, demonstrate enthusiasm, bring a depth of machine learning understanding, and an appreciation for developing great products for our customers will be paramount to your success in this role. Primary focus areas include improving customer engagement, supporting our different therapeutic areas with innovative products. Specifically, you will:
- Maintain machine learning pipelines (I.e. exploratory data analysis, build and maintain features, train, and validate machine learning models).
- Collaborate with data scientists, analysts, project managers, engineers across APAC to conceive, develop, and implement new analytics solutions to high-priority problems our stakeholders face.
- Support the building and optimization of statistical and AI ML models by identifying valuable data sources and undertake pre-processing of structured, unstructured, and noisy data.
- Apply modelling techniques to build, test and validate basic models using simpler and cleaner datasets.
- Learn and upskill on additional data scripting languages or statistical / mathematical software as required.
- Participate in internal and external forums, committees, conferences, associations, etc.
- Seek out data science trends and best practices to integrate into the organization practices and methods.
Qualifications
Key to your success in this role will be your strong analytical skills combined with the ability to diagnose issues and enthusiasm for data problem solving. Other requirements include:
- Masters, PhD, or equivalent degree in a STEM (Science, Technology, Engineering, and Mathematics) discipline is required. Examples include but are not limited to Computer Science, Statistics, Mathematics, Machine Learning, Physics, Pharmacy, Molecular Biology, Bioinformatics, Computational Informatics, Computational Biology, or a related discipline.
- Proficiency in Data Science and Machine Learning Engineering, with a solid understanding of machine learning algorithms.
- Demonstrated experience in developing and deploying machine learning models in production systems.
- Strong programming skills in Python for data manipulation, analysis, and model development.
- Solid understanding of software engineering principles and ability to write clean, maintainable, and scalable code.
- Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks (e.g., Spark) is a plus.
- Strong problem-solving skills, attention to detail, and ability to work independently with limited guidance.
Interested parties, please click on APPLY button.
Alternatively, you can share your CV at [email protected]
EA License: 94C3609
Reg No: R1440247
