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Data Scientist

Date: 23-Jul-2021

Location: Singapore, Singapore

Company: Singtel Group

 

Singtel, Asia’s leading communications technology group, provides an extensive range of telecommunications and digital services to millions of consumers and businesses across Asia, Australia, Africa and the USA. With over 140 years of innovation behind us, we continue to push boundaries in our networks and services, to enrich lives and transform businesses.

 

Our core values – Customer Focus, Challenger Spirit, Teamwork, Integrity, and Personal Excellence – shape the way we work. We are passionate about making a difference and have an open and inclusive culture where everyone is empowered to do their best. Our diverse business means you will enjoy unique opportunities and rewarding experiences to learn and grow your career in a dynamic industry.

 

Join us and experience what it’s like to be with an Employer of Choice*. Together, let’s create a brighter digital future for all. *Awarded at the HR Fest Awards 2020

 

 

Job Responsibilities:

  • Develop machine learning models for predictive modelling, NLP models, text analytics and operational analytics.
  • Manipulate large data sets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions
  • Interpret and analyse data using exploratory mathematics and statistical techniques based on the scientific method
  • Incorporating new data sources and implementing creative methodologies to improve model performance.
  • Helping build production systems that take inputs from multiple models and support decision making.
  • Build, validate, test, and deploy models and algorithms.

 
The successful canddiate should possess:

  • A degree in Computer Science, Applied Math, Statistics, or Industrial Engineering. A relevant Master’s degree (or higher) is highly regarded.
  • 2+ years of work experience involving quantitative data analysis and complex problem solving.
  • Complete command of SQL, and either Python, R, or Hadoop frameworks along with some experience with Tableau. Proficiency with similar BI and visualization tools is also transferable.
  • Experience directly querying large data sets including email data, networks data, system logs data, customer usage data, third party data and raw data ingested from non-standard platforms.
  • Experience with distributed analytic processing technologies (think Hive, Spark)
  • Experience building and deploying analytic solutions as well as machine learning and/or optimization models in production.
  • Experience with NLP and operational analytics is highly regarded. 
  • Experience with Azure cloud is a plus.

 

 

We believe in the strength of a vibrant, diverse and inclusive workforce where backgrounds, perspectives and life experiences of our people help us innovate and create strong connections with our customers. We strive to ensure all our people practices are non-discriminatory and provide a fair, performance-based work culture that is diverse, inclusive and collaborative.