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

Job Requirements:
- 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