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Organizational Analytics (OA) Scientist (NLP) - Consultant - Talent & Organization
Kuala Lumpur
Job No. r00116138
Full-time
Job Description
#LI-GM
YOUR ROLE
Although no two days at Accenture are the same, as an Organizational Analytics (OA) Scientist (NLP) in our Talent & Organization (T&O) practice, a typical day might include:
- Fetching information from various sources and analyzing it to better understand people behaviors
- Use of Natural Language Processing (NLP) Algorithm- Static and Dynamic Word Embeddings, Transfer Learning using Deep Learning Framework
- Train NLP Models for prescribed requirements: Supervised and Unsupervised topic modeling
- Web Scraping for data mining using state-of-the-art methods - Run numeric simulations leveraging different statistic techniques
- Selecting features, building and optimizing classifiers using machine learning techniques
- Processing, cleansing, and verifying the integrity of data used for analysis
- 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