Accenture | Let there be change
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- Key Responsibilities : Continued development and implementation of the analytics components of EIS Application The modelling approach developed as part of MVP will be required to be iterated, tuned and productionise as the team prepares for client deployments Work closely with the engineering team to ensure robust data pipelines, product hardening and efficient deployment strategies A strong knowledge of machine learning approaches, feature extraction engineering is required along with product development experience
- Technical Experience : Experience at least 3 years with time series analysis, regression models, information retrieval, feature engineering Ability to manage large data analytics applications Experimental design, model development evaluations, management and monitoring Regression models, information retrieval, Experience with the AWS Machine Learning Stack R, Python, SQL, graph analytics, NLP
- Professional Attributes : A data scientist should possess the below qualities: 1 Data Intuition 2 Iterative Design 3 Statistical Thinking 4 Technical acumen 5 Creativity
- Educational Qualification : BE/ Any relevant degree in Computer science
- Additional Information : Note: If candidate fails in interview, the result will reflect on feedback
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