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Location: Singapore
Salary: SGD 54k to 54k
Function: Technology

Company Overview

Our Client is a leader in Supply Chain Innovation solutions. They are seeking a Data Scientist to join the innovation team to develop customer-centric analytic solutions towards their clients and work on cool and exciting projects which truly adds values to the existing business. Reporting directly to the head of Data Analytics, you are responsible for the end – to – end process for innovation of clients’ business problems and projects.

Job Description

Ideally you are someone with entrepreneurial spirit and a team player. You will be working on different interesting projects to solve Supply Chain related problems. You are required to work independently on projects, hence Data Modelling is part of the entire process of solving business problems. You should have a minimum Degree in relevant field and a minimum of 2-3 years working experience in advanced analytics. As you will get to work on different problems around the globe, there is some degree of travelling involved.

Your work will be in 3 main areas:

Analytics solution design and development
• Design and implement innovation solutions using advanced statistical and/or Machine Learning Techniques that could ingest, transform and visualize data
• Support implementation of IT/database infrastructure to enable analytics projects

Project Management
• Manage your own data analysis project implementation to ensure solutions are being delivered on time
• Play a supporting role in solution development and potential deployment led by IT solution engineers

Knowledge Management
• Document down best practices, learnings and insights from projects and industry engagements

Requirements

Requirements
A degree in Mathematics, Statistics, Computer Science or relevant field
At least 2 years working experience in Advanced Data analysis work using statistical models or other models
Practical and in-depth knowledge in data integration, metadata, BI analytics tools, Data Visualisation tools
Experience in Python including numerical libraries such as NumPy and scikit-learn
Experience in Data crawling, Hadoop ecosystem components such as Hadoop, Storm, Kafka, Cassandra, Spark, Hive, Pig, etc
Highly independent and self-driven by projects

Additional Information

• Cool and exciting data projects
• Career advancement and Global Exposure
• Opportunity to play with the latest technologies