Senior Data Scientist

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Date: 25-Sep-2018

Location: Singapore, Singapore

The Data Scientist analyses data through application of scientific methods and data-discovery tools. He integrates and prepares large and varied datasets, and models complex business problems. He/She discovers business insights and identifies opportunities through the use of statistical, algorithmic, mining and visualisation techniques. He assists with architecting specialised database and computing environments, developing methodologies, performing analysis, summarising results and developing conclusions . He possesses a combination of analytic, machine learning, data mining and statistical skills as well as experience with algorithms and coding.

He has a deep passion for analysing and resolving complex business problems. He displays an intellectual curiosity about the business needs as well as the capability to engage with stakeholders to understand business issues.

 

Responsibilities:

  1. Work with customers to identify opportunities where Artificial Intelligence (AI), Machine Learning (ML), and Advanced Analytics (AA) can be applied to data to solve the customer painpoints.
  2. Individually or collaborate with other team members to develop AI/ML/AA prototypes/Proof-of-Concept/Proof-of-Value to derive actionable insights from data.
  3. Collaborate with the customers and internal stakeholders to architect the overall supporting storage and compute infrastructure to support the deployment of the AI/ML/AA models, applications, and visualisation of the results.  
  4. Collaborate with the relevant project managers to conceptualise, develop project scope, requirements, budget, and timeline for the implementation of the identified AI/ML/AA projects.
  5. Implement the AI/ML/AA projects and to ensure that the projects’ AI/ML/AA objectives are met.
  6. Business Priority KPIs are defined by Direct Manager.  This includes KPIs like Utilisation/Billable %,

 

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