Requirements:
1-4 years of prior experience in Python, SQL & Linear Regression
Key Responsibilities:
- Responsible to identify key drivers of Advocacy and Satisfaction as measured through the Voice of Customer surveys by applying Machine Learning and other advanced techniques on quantitative as well as qualitative data and thereby, contribute to the organization's key priority around Customer First
- Leverage Machine Learning to learn and identify patterns, early warnings, predictions about aspects/ processes touching our customers, from the wide range of Operational, Customer behavior and Survey feedback data available to us
- Explore cutting edge technologies in the field of Speech & Text analytics to better understand as well as predict Customer Experience/ Satisfaction
- Regularly engage with business teams to understand their needs and imperatives and operationalize a framework for deploying Machine Learning models relevant to the Customer Experience space
- Prototype and simulate use cases for Machine learning basis the GSN operating environment and ability to operationalize into workable algorithms & solutions
- Conceptualize, test and prototype beta versions of algorithms independently working along with business counterparts in larger GSN organization and generate value for them
- Capability of writing, debugging and compiling codes in multiple Machine Learning environment and not limited to Python/Pyspark, Apache Spark, R Spark etc.
- Provide technical leadership to the team members in relevant topics
CTC: 10.5 lpa (Negotiable)
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