• Competitive
  • Singapore
  • Permanent, Full time
  • OCBC Bank
  • 21 Nov 17

Data Scientist (Data Analytics)

Data Scientist (Data Analytics)

  • Analyse and visualize key trends within large datasets
  • Use strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights
  • Use a combined knowledge of computer science and applications, modelling, statistics, analytics and maths to solve problems
  • Use insights to influence how an organisation approaches business challenges
  • Build and deploy Machine Learning Algorithms, Advanced Analytics, and Data Visualization
  • Be a critical member of key data science projects spanning multiple areas including Financial Crimes and Compliance, Risk Management, MIS, HR and Marketing
  • End-to-end project management and feedback to users using agile techniques
  • Educate the broader community on data analytics through structured training programs and other outreach initiatives
  • Partner with assigned teams and/or business units to provide deep expertise and advisory on data analytics needs
  • Strong knowledge of data architecture to ensure analytics objectives are aligned to Technology Architecture


Qualifications
  • 3-6 years of work experience in the field of analytics and data science, with 2+ years' practical experience with SAS, ETL or data processing
  • At least two years data analytics working experience, preferably in banking
  • Ability to deal with data is different formats - Files, RDBMS (Teradata, Oracle etc.), Logs, Websites etc.
  • Min Degree in Statistics, Mathematics, Data or Computer Science or a related field
  • An analytical mind and team player to build strong business partnerships
  • A strong communicator, with clear articulation of analytical findings through presentations. Experience with data visualization packages will be a plus
  • Innovative and Agile thinking
  • Understand NLP, machine learning, deep learning, data mining, algorithmic foundations of optimization.
  • Experienced with common data science toolkits, such as R, SAS, Python or Spark-ML. Excellence in at least one of these is highly desirable
  • Great communication skills
  • Experience with data visualisation tools, such SpotFire or QlikView
  • Interested to acquire new tools as SQL, Spark, Hive, Pig for Data preparation
  • Experience with NoSQL databases, such as HBase .
  • A data lover and constantly looking at innovative solutions to further improve data analytics capabilities
  • Confident dealing with people at all levels of the organisation
  • Good communication skills, articulate and innovative to engage stakeholders
  • Good team player, but able to work independently with minimal supervision in a challenging and fast moving environment
  • Confident working in cross-functional, collaborative environments
*LI-CY