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Organizational Analytics (OA) - Data Scientist Consultant - Talent & Organization
Kuala Lumpur
Job No. r00190310
Full-time
Job Description
#LI-GM
YOUR ROLE
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
Qualifications
QUALIFICATIONS
- 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