Staff Data Scientist

September 13

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The world's leading computer vision platform for retail.

51 - 200

Description

•Conduct meaningful analyses to provide actionable insights that support product optimization and strategic decision-making. •Collaborate with engineering and product teams to integrate analytics solutions focused on key retail metrics such as traffic, availability, and conversion rates. •Design and implement data-driven methodologies for A/B testing and merchandising strategies, ensuring positive impacts on customer experiences. •Develop AI models that leverage machine learning to improve consumer behavior analysis, enhancing retail strategies. •Lead innovative research projects and publish findings to advance our Vision Analytics platform.

Requirements

•Advanced degree in Statistics, Economics, Machine Learning, or Operations Research. •5+ years of experience in data science, with a focus on retail or e-commerce analytics. •Expertise in developing and applying AI and computer vision techniques. •Strong programming skills in Python or R and experience with cloud-based data platforms. •Proven a track record of publishing research and driving innovation in data science. •Experience collaborating with cross-functional teams to deliver data-driven insights.

Benefits

•Choice of insurance plans, including option for 100% employer-paid medical, dental and vision premiums, as well as generous contributions towards dependent premiums. •An inclusive culture. Employee Resource Groups, DEI focused training and resources, and opportunities for community service and engagement. •Fertility and family planning assistance provided through Maven Clinic, as well as flexible scheduling to accommodate for childcare needs and generous parental leave policies. •Flexible time off, 12 company holidays, and 2 floating holidays annually.