Lead a team of data scientists responsible for designing, developing, and deploying advanced analytics and AI solutions.
Partner with senior Sales, Merchandising, Marketing, and Digital stakeholders to identify, prioritize, and frame high-impact business problems.
Oversee delivery of solutions including eCommerce personalization, recommendation systems, and advanced analytics.
Ensure solutions are production-ready, scalable, and embedded into commercial workflows.
Lead, develop, and retain high-performing teams of data scientists.
Shape and deliver the commercial analytics and AI roadmap aligned to growth priorities.

Requirements

Six years of experience or greater in advanced analytics, data science, or applied machine learning, with progressive leadership responsibility.
Experience deploying applied AI solutions on cloud platforms (e.g., AWS SageMaker and Bedrock).
Experience guiding teams in Python-based data science ecosystems and collaborative development practices.
Strong command of machine learning, optimization methods, and statistical experimentation at scale.
Business-oriented analytical thinker with a high bar for rigor, execution, and reliability.
Clear, concise communicator able to influence senior leaders with data-driven insights.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field required. PhD in a quantitative field a plus.

Benefits

health insurance
retirement benefits
paid time off
short-term and long-term disability
employee stock purchase plan
life insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

advanced analyticsdata scienceapplied machine learningmachine learningoptimization methodsstatistical experimentationPythoneCommerce personalizationrecommendation systemscloud platforms

Soft Skills

leadershipanalytical thinkingcommunicationinfluenceteam developmentexecutionreliability