data scientist (consumer) in singapore

posted
job type
permanent
salary
S$ 8,000 per month
apply now

job details

posted
location
singapore
job category
information technology
job type
permanent
salary
S$ 8,000 per month
reference number
90M0341776_1522653465
phone
00 00
apply now

job description

about the company
Our client is a large consumer goods business where they leverage and focus on technology-driven business models and capabilities to drive business results.

They are looking for a self-motivated and passionate Data Scientist who is able to lead, source and develop data models to drive the analytics developed by the analysts and data scientists in the R&D team.

about the job
You will be involved extensively in related fields such as statistical modelling, data science and data engineering at a global level, managing the end-to-end process of consumer research from planning to programming to analysis. To be successful in this role, you will have to be open and willing to learn new technologies, initiate in research and development and translate these insights to drive business goals.

skills and experience required

  • Bachelors, Masters or PhD Degree in Statistics with programming background, or Computer Science or equivalent
  • 3+ years of hands-on programming experience web development such as ASP.NET, Javascript, HTML, CSS, etc
  • Strong experience in data management, statistical modelling and data analysis. Able to leverage on statistical modeling, manipulating data, translate problems to business insights
  • Strong understanding and knowledge of SAS or JMP, R, Python.
  • Good understanding and exposure to the breadth of technologies such as Cloud, Database, Big Data, Programming, etc
  • Prior experience in collaborating with vendors and research organisations on projects related to data.

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

Referrals are greatly appreciated!

(EA: 94C3609/ R1657816)



skills

.NET, Javascript, R, Python, SAS