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Tier-1 brand, metro location, mid-level generalist ML role with broad skills increases competition.
Core data science skills are transferable but eCommerce and Adobe Analytics experience impose moderate domain bias.
Explicit 5-8 years and top-tier Master's requirement make candidate filtering highly strict.
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Lead machine learning and data analytics initiatives including modeling, anomaly detection, clustering, segmentation, and regression to drive business impact.
Develop tools supporting eCommerce and analytics focusing on pricing, merchandise optimization, and supply chain efficiency.
Collaborate with global teams, create analytics solutions, and facilitate data science adoption across business units through training and storytelling.
Master's degree in quantitative discipline (Statistics, Applied Mathematics, Econometrics, or Finance) from a top-tier university.
5-8 years experience designing and building quantitative modeling and analysis tools including optimization and simulation.
Strong skills in advanced statistical and data mining tools (R, Python), machine learning techniques, and experience in digital/web analytics platforms such as Adobe Analytics.
Work Experience Required: 5-8 years in relevant data science or analytics roles.
Experienced in eCommerce, digital analytics, PC industry use cases, and 4P analytics ecosystem knowledge is advantageous.
Proven ability to align analytics projects with business strategy and measure impact on business results.
Strong communicator who can connect statistical concepts to business problems and effectively present insights.