#LI-GMYOUR 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

　　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