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Job Description
Structured overview of role & requirementsAbout This Role
Lead data science initiatives addressing ambiguous, high-value retail challenges using predictive modeling, causal inference, and experimentation.
Develop and deploy scalable machine learning solutions and decision tools in collaboration with AI and engineering teams.
Define success metrics, frame hypotheses, and translate complex analytics into actionable recommendations influencing product, engineering, and executive decisions.
Minimum Requirements
Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related field with 5 years experience, OR Master's degree with 3 years experience, OR 7 years experience in analytics or related field.
Strong Python programming skills and experience in building production-quality data science solutions.
Experience with experimentation design and causal measurement techniques including A/B testing, uplift modeling, or difference-in-differences.
Work location: Bangalore office, India.
Ideal Candidate Profile
Experienced in transforming ambiguous, strategic business questions into testable analytic hypotheses with measurable outcomes.
Proficient in deploying and monitoring ML models in production environments and collaborating closely with engineering teams.
Demonstrated capability to mentor data science teams and communicate complex analytical insights to cross-functional stakeholders for business impact.