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Strong employer brand, remote role, metro location, broad ML skillset increase applicant density.
Core ML and data engineering skills transfer across industries despite retail-specific customer analytics context.
Requires advanced ML, DL, Spark, SQL and production deployment skills, indicating strict technical filters.
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Develop and deploy data and analytics capabilities to support customer acquisition, retention, personalization, and marketing at Gap Inc.
Build, validate, and maintain AI/ML and statistical models; optimize their performance and conduct ad hoc business-focused analysis.
Ensure quality of services and end results, sharing responsibility for team resources, budget, and adherence to policies.
Advanced proficiency in R, Python, Spark, Hive or equivalent, and SQL in on-prem and cloud distributed computing environments like Azure.
Experience with ML and classical predictive modeling techniques (logistic regression, decision trees, ANN/CNN, boosted trees, SVM, Tensorflow).
Work Experience Required: Not explicitly mentioned in the JD.
Ability to manipulate large datasets from multiple disparate sources and build automated data pipelines.
Experienced in collaborating with cross-functional teams and influencing analytics or product roadmaps.
Strong ability to translate complex data analyses into actionable business recommendations and communicate effectively with stakeholders.
Comfortable working at detailed data levels and summarizing insights for strategic application.
