data science manager in Singapore

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job details

information technology
job type
working hours
s$ 9,000 - s$ 13,000 per month
reference number
sarah yang, randstad
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job description

about the company
Our client is a reputable medical devices company with global presence. They have proven track record in innovation to stay at the forefront of the technology evolution, and is committed to leverage on this aspect and grow globally. They are looking for a Senior Data Science Manager for their Advanced Analytics team who is keen to take up a global portfolio in time to come.

about the role

You will:

  • Lead and manage a team of high performing Data Scientists and Data engineers in the Singapore office and work with peers across more than 5 countries around the globe
  • Collaborate with the global analytics team’s stakeholders as well as with functions across the company to develop analytics solutions that will enable a data-driven approach to addressing business challenges
  • Define technical strategies and processes in line with the business goals and design the workflow within the analytics function
  • Leverage machine learning and modelling techniques to identify, analyse and present actionable data to drive business decisions
  • Work with senior business stakeholders to identify products and solutions that create business value.
  • Translate analysis into compelling narratives and presentations which to explain and share knowledge and trends to the leadership team

skills and experience required

  • PhD in Data Analytics, Computer Science, Applied Mathematics, or related field, relevant industrial experience is preferred
  • More than 6 years of relevant experience in a complex, technical environment and management of highly technical team members
  • Good knowledge in a wide variety of advanced data analysis and machine learning techniques, and experience in developing solutions in response to real-world business problems
  • Exposure to interacting with global team and demonstrated management and leadership
  • Strong in end-to-end data science project involvement which include developing statistical models, predictive analytics, data mining, etc
  • Experience working with Big Data Technology stack (HDFS, MapR, Hadoop, Spark)
  • Hands on experience in data modelling techniques and tools/languages – R, SPSS, Tableau, SAS, Python, MATLAB, etc
  • Open to travel about 20- 30%

To apply online please use the 'apply' function, alternatively you may send your CV to sarah.yang(@) or contact Sarah Yang at +65 6510 3633

Referrals are greatly appreciated!

(EA: 94C3609/ R1657816)


Machine Learning, Advanced Analytics, R, MATLAB, Python, SAS, Hadoop, HBase, MapR


PhD in Data Analytics, Computer Science, Applied Mathematics, or related field

educational requirements

Doctorate (PHD)