Job Description

COMPANY DESCRIPTION
NTUC Enterprise Co-operative Limited is the holding entity and single largest shareholder of the NTUC group of Social Enterprises. We aim to create a greater social force to do good by harnessing the capabilities of the social enterprises to meet pressing social needs in areas like health and eldercare, childcare, daily essentials, cooked food and financial services. Serving over two million customers, NTUC Enterprise wants to enable and empower all in Singapore to live better and more meaningful lives. The NTUC Enterprise Centre of Excellence for Data, Digitalisation and Technology leads the transformation of the NTUC Social Enterprises by leveraging digital technologies to become more nimble, adaptable and innovative in today’s digital age.
DESIGNATION : Senior Data Scientist

RESPONSIBILITIES
The rapid adoption of technology and mobile devices have contributed to vast new flows of information which are larger in volume, faster in velocity, diverse in variety, and requires veracity of the information for use. This new type of information composed of structured and unstructured data, broadly known as big data (and combined with tools and platforms), if utilized well, could radically improve business performance. We are seeking a strong candidate with advanced analytics experience to fill a senior data scientist position within the NTUC. The role will be responsible for executing analysis that delivers valuable insights, providing predictive analytic solution with high quality and make sure the deployment with sound business sense. In this role you will work with various industries and most diverse datasets in Singapore. Responsibilities :

• Define analytical strategy to address identified opportunities, including analytical approaches, data and technology requirements for different social enterprise
• Recommend improvements using analytic in the area such as consumer marketing, churn management, supply chain management optimization, personalized search and recommendation etc.
• Work with various teams to plan, identify and collect data from multiple systems to support the analytic
• Working with data engineer team to build and automate of the data workflows such as extraction, transformation and load (ETL) to transform raw data for analytics purpose
• Develop models and perform statistical analysis to solve various strategic business problems,
• Communicate and present key analytical findings to senior management and/or other stakeholders with actionable recommendations.
• Working with machine learning engineer team to deploy analytical/optimization solutions to drive growth
• Work with other data scientists in the team to drive projects

• Phd/Master in Statistics, Computer Science, Operations Research, Finance, Engineering
• Deep understanding of statistical analysis, data mining or machine learning
• Experience in working with large structured and unstructured data sets
• Ability to think analytically and deliver results that drive business decision making
• Team player to build strong business partnerships
• Have competency in one or more of the following programming languages or tools : Python, R, Spark, Hive, Impala Pig or Scala
• Experience or knowledge in AWS environment will be a plus
• Ability to write production code will be an advantage
• Prepared to take on new challenges and ad-hoc requests that need quick turn-around
• 2 years of data analytics experience in retail/grocery industry preferred