Data Science Practitioner

Description:

• Manage, architect and analyze big data in order to build data driven insights and high impact data models.
• Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing.
• Examine data from multiple sources and share insights which provide competitive advantage.
• Contribute to assets/offerings and thought leadership.
• Act as Subject Matter Expert in area of expertise

• Analyzes raw information through statistical analysis to discover trends or patterns that can be used for building data products to extract valuable business insights
• Required skill: Data S
• At least 1 year of experience manipulating data sets and building statistical models
• Uses predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes
• Utilizes machine learning algorithms and models and presents them using data visualization techniques
• Has familiarity with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning
• Minimum 2 year(s) of experience is required