Data Scientist

Industry

Information Technology & Communications

Advert ID

SGP/14612

Location

Central Business District

Job Type

Permanent

Hours

Full Time

Salary Range

6000.0 - 8000.0 Per Month

No. of Openings

1

Recruiter contact details

Name
Bernice Mae Nocum, Rallonza

Email ID
Bernice.Rallonza@manpower.com.sg

Phone number
+65 6232 8811

Personnel Reg. Number
R1442141

EA License Number
02C3423

Job Description

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
• Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• Use machine learning tools and statistical techniques to produce solutions to problems
• Create clear reports that tell compelling stories about how customers or clients work with the business
• Horizon scan to stay up to date with latest technology, techniques and methods
• Conduct research from which you'll develop prototypes and proof of concepts
• Look for opportunities to use insights/datasets/code/models across other functions in the organisation (for example in the HR and marketing departments)
• Carrying out and attaining the mission and the goals of the Innovation lab managed.
• Assign employees to take responsibility for their jobs and goals. Delegate responsibility and expect accountability and regular feedback
• Able to engage with client and demonstrate present technologies
• Manage relationships between different business groups directly involved with Digital Labs.

• Ability to work in a challenging environment and is creative in coming up with solutions to solve complex problems

• Experience in advanced statistical modelling and machine learning methods to develop robust predictive models
• Experience in working with large unstructured data sets and distributed computing tools (e.g. Spark, Hadoop, Hive, etc.); leading platforms (e.g. SAS, Tableau, Qlik)
• Experience with enterprise databases, in traditional and alternative database technologies (SQL and NoSQL)
• Hacking skills (ability to quickly prototype solutions for diverse needs)
• Data manipulation – comfortable handling multiple data types across varying frequencies and complexities as well as familiar in feature selection and transformation
• Fluency in Python, C++, R and/or other similar languages
• Adept in data visualization