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Job Description
Structured overview of role & requirementsAbout This Role
Work with large and complex data sets to evaluate, recommend, and support business strategies focused on improving customer experience outcomes.
Document data requirements, perform data collection, processing, cleaning and exploratory analysis including use of statistical models and data visualization.
Manage code development lifecycle including coding, testing, deployment automation, integration, and production model validation.
Minimum Requirements
Bachelor's degree with at least 3 years of experience OR Master's degree with 2 years of experience in a quantitative field.
Hands-on experience in Python, SQL, and Machine Learning is mandatory.
Experience in coding best practices including version control (e.g. Git) and deployment automation (e.g. Jenkins).
Work Experience Required: At least 2-3 years relevant experience as specified; notice period not explicitly mentioned.
Ideal Candidate Profile
Experience or strong exposure to Customer Experience (CX) analytics, preferably in financial services or credit card business.
Familiarity with Software Development Life Cycle (SDLC) and Agile/Sprints deployment cycles.
Ability to work in a matrix environment and collaborate with cross-functional teams managing end-to-end data science development and deployment processes.