MALAYSIA, SINGAPORE, AUSTRALIA JOB VACANCIES



























































































































































































Junior Data Scientist, Singapore 
Experian Singapore 
Singapore 
Job Description 
We're looking for Data Scientists to join our team in Singapore, supporting some key clients across the SEA region.  
Role Details below 
Individual contributor who can build and execute analytics modules on various technology platforms including big data technology platforms. 
In this role, the data scientist will be supporting the Team Lead to execute upon a work stream and complete the task in a time bound manner as laid out by the Team Manager. 
As an individual contributor, the data scientist will be a problem solver and should be able to come up with innovative solutions for the problems laid out. 
When needed, the data scientist will also engage with clients to present the results from his work and convey the primary findings, challenges and prepare such client ready material for the delivery of the project.  
The person will be based out of Singapore and report to the Team Lead who in turn will report to the Team Manager (Principal Data Scientist). 
Relevant 2-5 years of experience in Big data analytics and machine learning.  
Demonstrated experience with various analytics and big data platforms. 
High performer and problem solver. A high level description of desired skills is given below. 
Number of positions - 2  Skillset:  
2-5 years of experience in predictive analytics and big data analytics 
Ability to work on big data analytics tools 
Hadoop, Hive, Spark, Mahout (map reduce), Pig, Scala, MongoDB, Storm, Kafka, Zeppelin, etc. 
Some experience in setting up a do it yourself big data cluster environment 
Demonstrated experience in delivering analytics projects on the big data stack 
Strong coding skills in Python, R 
Other preferred coding languages are Java, SAS, C++, SQL 
Comfortable with working on Unix, Windows 
Sound knowledge of machine learning concepts. Illustrative machine learning methodologies are: 
Bagging, Boosting, Regularization, Online Learning, One Hot Encoder etc. 
Statistical modeling CHAID, CART, Regressions, SVM, SVD etc. 
Experience on the text analytics stack  
NLP, Parts of Speech Tagging, Language modeling, TF-IDF, Word2Vec 
Illustrative experience Document classification, speech analytics, topic modeling, sentiment analysis, 
Looking for diverse work experience in candidates. People who have worked across multiple solution areas and business lines. 
Risk analytics /Marketing analytics / Telecom analytics / Retail analytics / e-commerce analytics etc. 
Strong communication skills in English. 
Independent problem solver comfortable to work in an ambiguous solution space 
Strong PPT Skills, Excel skills 
Role based in Singapore with 30%-40% travel in APAC  
Salary: Best in Industry, Job in Singapore, Bonus and Salary 
Industry:KPO / Research / Analytics 
Functional Area:Analytics & Business Intelligence 
Role Category:Other 
Role:Other 
Education- 
UG:Any Graduate - Any Specialization, Any Specialization 
PG:MS/M.Sc(Science) - Any Specialization, Computers, Data Informatics, Maths, Any Specialization, Computers, Data Informatics, Maths, Any Specialization, Computers, Data Informatics, Maths, Any Specialization, Computers, Data Informatics, Maths, M.A - Any Specialization, Any Specialization, Any Specialization, Any Specialization, Any Postgraduate 
Company Profile: 
Experian Singapore 

Mechanical Engineer - Malaysia 
Premium 
Malaysia 
Job Description 
My client is looking for a Mechanical Engineer for their plant at Malaysia. This position is for a Palm Oil Plant. The group is a part of a very large conglomerate with major presence in asia and outside asia.  The role would involve: 1. Increae the reliablitiy of all equipments by applying modern maintenance practices   2. To track and reduce repair and maintenance cost  3. Root cause analsis of breakdowns and to prevent the reoccurence of failure. 4. To provide technical support to the engineering on regular basis.  5. To plan the modification arised out from technical discussion and safety  6. To achieve lowest operational and production cost.  Age : 27 to 30 yrs  Industry : Prefer heavy chemicals or Solvent plants ( avoid drug companies)  Prefer candidates from South India  
Salary:Not Disclosed by Recruiter 
Industry:Chemicals / PetroChemical / Plastic / Rubber 
Functional Area:Production Manufacturing Maintenance 
Role Category:Production/Manufacturing/Maintenance 
Role:Service/Maintenance Engineer 
Education- 
UG:B.Tech/B.E. - Mechanical 
PG:Any Postgraduate 
Doctorate:Doctorate Not Required 
Company Profile: 
Premium 
Leading Client of Confidential 

  
Senior Salesforce Developer-with a Leading Company in Australia 
A leading Salesforce Consulting 
Australia 
Job Description 
Working onsite as part of the project team, to assist in the design and then develop custom solutions on the Salesforce platform (Sales, Service, Marketing, Analytics, Communities); Collaborating with the Business Analysts and Systems Analysts to ensure business requirements are translated into a solution design that is practical and adheres to best practice; Taking responsibility for building and documenting solutions to the agreed specification and standards; Working with the rest of the team to ensure a quality solution is built and then tested successfully within the agreed timelines.   
Salary: Attractive remuneration including superannuation and medical insurances 
Industry:IT-Software / Software Services 
Functional Area:IT Software - Application Programming Maintenance 
Role Category:Programming & Design 
Role:Software Developer 
Company Profile: 
A leading Salesforce Consulting 
A rapidly expanding consultancy working with large corporate clients, providing Salesforce expertise on projects, both large and small, in Sydney and Melbourne, Australia. 

Senior Data Scientist, Singapore 
Experian Singapore 
Singapore 
Job Description 
Role Details below 
You will have hands on with building and executing analytics modules on various technology platforms including big data technology platforms. 
In this role, you will own complete work streams for execution and delivery. At times you could also be the owner of more than one work streams for development & delivery. 
You will compile results from various work streams and be able to make coherent presentations to internal and external stakeholders.  
You will receive support from Data Scientist (junior) and will need to manage, lead and guide them towards successful project completion.  
You will be responsible for the performance appraisal and career mentoring of the data scientists (junior) reporting to them.  
You will report to the Team Manager (Principal Data Scientist) and will receive mentoring and guidance from the Manager. 
Relevant and demonstrated 6-12 years of experience in Big data analytics and machine learning.  
Prior experience in managing small teams. 
High performer and problem solver. Ability to supervise people while continuing to remain hands on in project execution. 
A high level description of desired skills is given below. 
Skillset:  
6-12 years of experience in predictive analytics and big data analytics 
Ability to work on big data analytics tools 
Hadoop, Hive, Spark, Mahout (map reduce), Pig, Scala, MongoDB, Storm, Kafka, Zeppelin, etc. 
Some experience in setting up a do it yourself big data cluster environment 
Demonstrated experience in delivering analytics projects on the big data stack 
Strong coding skills in Python, R 
Other preferred coding languages are Java, SAS, C++, SQL 
Comfortable with working on Unix, Windows 
Sound knowledge of machine learning concepts. Illustrative machine learning methodologies are: 
Bagging, Boosting, Regularization, Online Learning, One Hot Encoder etc. 
Statistical modeling CHAID, CART, Regressions, SVM, SVD etc. 
Experience on the text analytics stack  
NLP, Parts of Speech Tagging, Language modeling, TF-IDF, Word2Vec 
Illustrative experience Document classification, speech analytics, topic modeling, sentiment analysis, 
Looking for diverse work experience in candidates. People who have worked across multiple solution areas and business lines. 
Risk analytics /Marketing analytics / Telecom analytics / Retail analytics / e-commerce analytics etc. 
Strong communication skills in English. 
Independent problem solver comfortable to work in an ambiguous solution space 
Strong PPT Skills, Excel skills 
Role based in Singapore with 30%-40% travel in APAC  
Salary: Best in Industry, Job in Singapore, Bonus and Salary 
Industry:KPO / Research / Analytics 
Functional Area:Analytics & Business Intelligence 
Role Category:Other 
Role:Other 
Education- 
UG:Any Graduate - Any Specialization 
PG:Any Postgraduate, MS/M.Sc(Science) - Any Specialization, Data Informatics, Computers, Maths, M.A - Any Specialization 
Doctorate:Doctorate Not Required 
Company Profile: 
Experian Singapore