Senior/Data Analyst (Data Science Team)
M1 LIMITED
SG, Jurong, Tuas, SG
11h ago
source : GrabJobs

Job Responsibilities

  • Work closely with the business domains to identify and implement use cases for new opportunities or solving business problems
  • Proactively discover new insights from raw datasets that are meaningful and useful to business needs
  • Analyse and advise on whether specific problems can be solved and how they can be solved with the available raw datasets
  • Apply expertise in mathematics, quantitative analysis, data mining and machine learning to develop models and algorithms
  • Explore and implement new technologies, tools and techniques that will improve data processing or enhance the results of the analytics outcome
  • Job Requirements

  • Degree in Statistics, Mathematics, Computer Science or Engineering or related field with an experience of 2+ years in Data Analysis and Machine learning;
  • candidates with no prior experience may also apply

  • Expert technical abilities within machine learning, statistical and probability methods
  • Excellent understanding of machine learning techniques (classification, regressions, dimensionality reduction, etc.)
  • Working experience on Big Data development and related technologies (e.g. R, Python, Scala, Matlab, Java, Hadoop, Spark, SQL & NoSQL databases, Vertica, Snowflake)
  • Familiarity with Flask, Django, Javascript, D3, Ruby and visualization tools such as Tableau, Power BI, ThoughtSpot would be an added advantage
  • Cloud technologies and cloud computing knowledge, e.g. AWS
  • Experience with geospacial analysis using telecommunications network data would be an added advantage
  • Telecom domain knowledge with experience in multi-tiered Customer Care, Order Management, Marketing, Loyalty, Business Support and Network Provisioning systems would be advantageous
  • Comfortable working with very large volumes of data of various formats
  • Excellent analytical, communication and presentation skills, with experience writing proposals
  • Able to perform under pressure and work effectively with end-users and vendors
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