Data Scientist (Machine Learning) - GECO Asia Pte Ltd｜Meet.jobs

Job description & requirements

Job Descriptions:

Excellent opportunity for Data Scientists who are looking to work in a large-scale global firm with access to large volumes of data where industry insights and trends can be developed and shaped. If you want to be in a part of team with high influence, you are encouraged to apply

Project Duration: 12 Months

The must haves:

- Ph.D. graduate, or Masters (with at least 3 years of experience), in Computer Science, Electrical/Computer Engineering, Operations Research or Mathematics/Statistics

- Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization

- Experience with machine learning framework (scikit-learn, Spark MLlib etc)

- Proficient in one or more of the following programming languages: Python, R, Scala.

- Experience in building ML models at scale, using real-time big data pipelines on platforms such as Spark/MapReduce

- Self-motivated, independent learner, and willing to share knowledge with team members

- Detail-oriented and efficient time manager in a dynamic and dynamic working environment

The day-to-day activities:

- Develop creative algorithms by employing machine learning, and data mining techniques

- Contribute to team’s innovation and IP creation

- Built and test machine learning model for ranking data respect to details required and vice versa

- Present the latest findings to management, explain the impact on existing architecture and communicate expectations and requirements to the team

- Provide training to co-members in the team.

Why join us?

At GECO Asia, we pride ourselves as one of the leading IT/SAP Consulting and Resourcing firm with access to cutting edge and niche projects. Our client base includes blue chip customers from Singapore, Malaysia, Hong Kong. Having delivered more than 500+ SAP and Digital Transformation assignments in last 5 years, we have the trust of both quality clients and our quality consultants.

Send us your interest to fast forward your career. We give you unparallel access to new projects in modern IT areas like Digital Transformation, Cloud Computing, Data Science, Machine Learning, Internet Of Things and IT Governance.