The Senior Data Scientist will use advanced analytical techniques and domain expertise to generate actionable insights to support business objectives and accelerate decision making. This role involves sourcing and validating data, analyzing customer journey behavioral patterns, designing digital experiments, developing predictive models, and translating learnings to actions. The position requires proficiency in SQL, statistical methods (frequentist), and data visualization to dissect complex data and make recommendations. Collaborating across teams, the Senior Data Scientist will guide analytical strategy, mentor colleagues, and communicate findings effectively to influence decision-making and drive continuous improvement within the organization. The Purchase Experience Analytics team within eCommerce Decision Science enhances customer experience across fulfillment, conversion funnel, account management, and post-transaction touchpoints. Collaborating with product management, business strategy, engineering, and design teams across multiple business areas, the team applies advanced analytics to support decision-making and strategic planning. Their work drives improvements in eCommerce operations and customer satisfaction throughout the purchase journey. The team values proactive partnership, business acumen, and strong data analysis skills to deliver actionable insights and measurable impact, fostering continuous improvement across the organization.
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Job Type
Full-time
Career Level
Senior