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Organizational Analytics (OA) - Data Scientist Consultant - Talent & Organization

Kuala Lumpur Job No. r00190310 Full-time

Job Description



Although no two days at Accenture are the same, as an Organizational Analytics (OA) Data Scientist in our Talent & Organization (T&O) practice, a typical day might include:

  • Fetching information from various sources and analyzing it to better understand organization related metrics
  • Build out data mockups to test the prescriptive analytics hypothesis
  • Designing framework for organizational concepts, subsequently leading to a questionnaire and other forms of assessment
  • Linking analytics results with Behavioral Science or Industrial and Organizational Psychology related concepts
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Has a good grip with Multivariate Statistics and can independently run simulations leveraging machine learning
  • techniques such as Self Organizing Maps, Boosting Methods, Support vector machines Neural Network etc.
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Doing custom analytics to deliver insights to clients
  • Contribute to authoring of Thought leadership and research papers
  • Contribute to innovation and new product development in the people and organization analytics space



  • Bachelor’s or Master’s degree in Computer Engineering, Computational Science, Statistics, Operational Research, or similar field.
  • Conceptual clarity with fundamentals of statistics
  • 4-7 years of experience in business data analysis and research related to Computational Science/ Data
  • Engineering/ Statistical Model Development
  • Data fluency and working knowledge of machine learning models
  • Some exposure to data engineering & hands-on experience with APIs & writing SQL query would be an add on
  • Is generally curious & has a knack for solving ambiguous problems. Is able to think critically & out-of-the box.
  • Ability to perform in a non-structured and dynamic environment
  • Tools: R-Programming/ Python language

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