Job Responsibilities
- Collaborate with key stakeholders, namely programme and cross-functional teams and senior management, to prioritize information needs.
- Identify available and relevant datasets and make strategic recommendations on such collection, integration usage and leading in the discovery processes with stakeholders to model and frame scenarios that will impact on business processes and decision-making.
- Manage the entire data modeling cycle, including data preparation, data modeling, evaluation and deployment.
- Interpret data and analyze results to derive insights and foresight, and provide feedback to align programmes.
Job Requirements
- Minimum Master’s degree in Analytics, Statistics, Computer Science, Information Management, Mathematics, Economics, Operation Research, Engineering or Finance.
- At least 3 to 5 years of relevant working experience.
- Good interpersonal skills, a detail-oriented and flexible person who can work across different areas within the team as well as alignment cross functionally outside the team.
- Ability to deliver clear, concise reports and presentations/dashboards and effectively articulate observations and recommendations.
- Proficient in the use of Data Visualization & Management Tools (e.g. Tableau), Commercial Statistical Software (e.g. SAS, SPSS, STATA) and/or open source platforms (e.g. R and Python).
- Ability to build and interpret probabilistic models of complex, high-dimensional systems is a plus. Experience with Regression Models, Neural Networks, Cluster Analysis, Structural Equations Models, formulating and solving OR models like linear (large-scale), mixed integer, non-linear and evolutionary programming methods is a plus;
Only shortlisted candidate will be notified.
To apply, please visit to www.gmprecruit.com and search for Job Reference: 20487
To find out more about this opportunity, please contact Jaremy Ong at Jaremy.Ong@gmprecruit.com.
GMP Recruitment Services (S) Pte Ltd | EA Licence: 09C3051 | EA Personnel: Jaremy Ong | Registration No: R1876766
