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Join a leading strategic analytics and data science team at a major retailer to construct and deploy large-scale prediction systems that inform high-level business strategy. This is an exciting opportunity to apply advanced Machine Learning and AI techniques to a massive, proprietary set of omnichannel and customer loyalty data, driving tangible improvements in operational efficiency and personalized customer experiences. We are looking for a highly curious and technically skilled individual eager to provide a distinct competitive advantage through innovative data science.
Key Responsibilities
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Join a leading strategic analytics and data science team at a major retailer to construct and deploy large-scale prediction systems that inform high-level business strategy. This is an exciting opportunity to apply advanced Machine Learning and AI techniques to a massive, proprietary set of omnichannel and customer loyalty data, driving tangible improvements in operational efficiency and personalized customer experiences. We are looking for a highly curious and technically skilled individual eager to provide a distinct competitive advantage through innovative data science.
Key Responsibilities
- Design, develop, and deploy advanced analytical models and prediction systems to optimize business communication strategies and operational efficiencies.
- Utilize Machine Learning and AI to explore rich customer and omnichannel data assets to create solutions that personalize guest experiences for a loyalty base of 45M members.
- Act as a subject matter expert, clearly explaining complex analytical approaches and model results to diverse internal stakeholders to drive alignment and business outcomes.
- 3 years of professional experience in analytical functions, with a preference for marketing analytics use cases.
- Proven fluency in Python and scientific-related frameworks (Scikit Learn, NumPy, SciPy) and expertise in SQL for data mining and feature extraction.
- In-depth knowledge of statistical techniques and machine learning concepts (e.g., supervised/unsupervised learning, statistical inference).
- Hands-on experience with cloud computing platforms and with designing, deploying, and maintaining machine learning pipelines.
- Excellent interpersonal, verbal, and written communication skills to articulate complex ideas to both technical and non-technical audiences.
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