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Data Scientist

  • Posted: 9 Apr 2024
  • Research & Innovation
  • SINGAPORE
  • Singapore
  • On-site

About the job

The Data Science team in Singapore works with several global teams and supports critical functionalities through Machine Learning (ML) and analytics. The team specializes in creating ML models using multi-modal data (including tabular data, free-text, image, video, audio, etc.) that power many digital health services which ease real-world data capture and analyze real-world/clinical data such as those obtained from apps on cellular phones, websites, wearables, biological samples provided to labs, clinical studies, etc. to generate real-world evidence.  


The Data Science team is looking to expand its team with new Health Data Scientists who will work on a multitude of projects in various areas.

 

What will you be doing in this role?

 

In this role, you will be working with both internal and external stakeholders across the world on multiple projects involving real-world data, clinical trial data, and genomic data from labs. 

 

You will be responsible for designing and implementing ML algorithms, oftentimes incorporating deep learning technologies. It is expected that you will be continuously upgrading yourself, not only on ML, but also on the basics of the specific medical domain that you will be working on. 

 

Finally, you will be communicating your results to multiple stakeholders both within Danone, as well as outside of Danone.

About you

To be successful in this role you will need … 


The following technical skills and experience 
• A Masters/Ph.D. in a technical field
• Strong foundation in programming, especially in Python 
• Prior experience in designing and implementing ML solutions 
• Extensive knowledge of deep-learning and proficiency in at least one deep learning framework 
• Comfortable with creating/using MLOps frameworks as required 
• Project-management skills including, defining projects, scope, resource requirements, timelines, evaluation criteria, etc. 
• Comfortable with popular cloud frameworks such as AWS/Azure 
• 2-3 years of work experience in the field of Data Science in a healthcare-company will be a huge plus 
• A background in microbiology/biological sciences will be a plus 
• Knowledge of project management frameworks such as Kanban, Scrum, and which to use for a particular project will be a huge plus 

 

These soft skills:
• Be comfortable with stakeholder management and engagement 
• The ability to communicate with business users, understand their needs, and translating business problems into tangible data science projects 
• Ability to communicate complex scientific results to business stakeholders

About us

Flexibility
Do things your way. At Danone Singapore, we believe that our teams work best when they are empowered to work flexibly – this is why our hybrid working policy allows you to agree the right balance of homeworking and office working, in line with yours and the team’s needs.

 

Focus on development – your way
With a suite of learning opportunities and a strong focus on in-role development, your line manager will work closely with you to help unlock your career ambitions within Danone. Working here you will enjoy a fast-paced, complex environment, which is packed with opportunities for the entrepreneurial spirit. You’ll work with some of the best-known brands in the world, such as evian, Dumex and Aptamil, and we absolutely guarantee that you can just be yourself.

 

Our values
We live by our core ‘HOPE’ values – H is for Humanism, as people are at the heart of everything we do. O is for Openness, welcoming new ideas from the world we live in. P is for Proximity, as we believe that building close relationships leads to better understanding and trust. E is for Enthusiasm, for those who are as passionate as we are about bringing health through food to as many people as possible.

 

Join our movement for a healthier world. One Planet One Health BY YOU. For more information about Danone, our divisions and culture, please visit careers.danone.com. 

 

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