Contract type: Permanent
Location: Singapore
Specialisation:Salary: $230,000 - $0 Annual
Reference: PR/082819
Contact details: Joe Gul
Contact email: joseph.gul@jac-recruitment.com
Job published: May 09, 2022 16:02
Chief Data Scientist (Supply Chain Analytics)
Technology MNC
Singapore
JAC are currently recruiting an experienced Chief Data Scientist to work with a highly respected Technology MNC.
The successful candidate shall receive a competitive salary, bonus & package; as well as the opportunity to work on various innovative supply chain products on a global scale!
The candidate shall initially operate as a lead contributor whilst managing various project teams; this role will be reporting into the Global Director of Analytics.
Role & Responsibilities: Data model creation, development, visualization, deployment and optimization Delivery of projects focused on supply chain analytics Develop/test/deliver solutions to enhance internal supply chain operations (via descriptive, predictive and prescriptive analytics) Providing Analytics/BI frameworks & insights; whilst presenting insights to various key internal stakeholders Operating in alignment with analytics focused supply chain vendors to expand supply chain analytics capabilities
Experience & Qualifications: Experience working as a Lead/Principal/Chief Data Scientist Proficient in analysing data, hands on coding and automating data handling through SQL, Python and R Strong experience in Supply Chain Analytics is a necessity Experience working with a tech giant, MNC or highly respected SME A PhD or Masters in a quantitative field (e.g. Economics, Statistics, Sciences, Engineering, Computer Science) Fluency in Mandarin is desirable due to liaising with key stakeholders based overseas
If this opportunity is of interest, then do not hesitate to contact Joe Gul on:
+65 6411 0343Alternatively send a copy of your updated CV to: joseph.gul@jac-recruitment.com
Please note due to a high volume of applications, only shortlisted candidates will be contacted.
EA License: 90C3026
EA Personnel: R1981662
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