Role Description:
- This role involves working with senior stakeholders in understanding and identifying the business requirements and needs.
- Developing and implementing advanced analytics approaches including statistical modelling, machine learning algorithms, text mining, web analytics etc. to answer business questions and drive actionable insights.
- Individual in this role is expected to work with very large data sets (both structured and unstructured), data cleansing/transformation, feature engineering, apply statistical analysis, data visualization, data mining, design and develop algorithms and define path to implementation with IT teams.
Candidate Description:
- Comfortable with various data types and structures: structured and unstructured data, static and streaming data, extensive prior experience in integrating data, profiling, validating and cleansing data
- Should possess extensive knowledge of and experience in applying data mining and machine learning techniques in a professional context
- High level of proficiency in statistical tools like SAS, R
- Expertise in programming languages like Java/C/C++/Python
- Experience with relational databases and SQL is a must
- Relevant experience in Big Data platforms like Hadoop and its eco-system
- Candidate will be expected to communicate analytical results in a way that is meaningful for business stakeholders and provides actionable insights.
- Have the ability to discover new opportunities where advanced analytical techniques can be leveraged for solving business problems
Behavioral Attributes:
- Effective communication
- Ability to influence stakeholders
Qualifications:
- 3-6 years of relevant experience with an organization known for its cutting edge/ best-in-class applicability of advanced analytics and predictive modeling techniques
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