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The Director of Consumer Insights & Data Analytics will lead efforts to understand consumer behavior and optimize the customer journey at Brilliant Earth. Responsibilities include leading data-driven initiatives, conducting behavioral analysis, providing marketing insights, building reporting frameworks, and driving the development of analytics tools to enhance business decision-making and customer engagement.
Lead the advancement of a modern data lakehouse, translate requirements into effective data models, develop in data technologies, manage project life cycle activities, collaborate with team members, and mentor other Engineers. On-call support as needed.
The Lead Data Management Consultant will develop and implement innovative Python scripting solutions to enhance data management, streamline automation, and drive customer innovation on the Workiva Platform. They will collaborate with cross-functional teams, influence product development, and provide expert consulting services, along with documenting best practices and promoting knowledge sharing.
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As a Cloud Data & Analytics Manager, you'll assist clients in aligning their data strategies with business strategies, migrating them to a modern cloud data environment, and leveraging data insights for decision-making. You'll also coach team members, analyze complex proposals, and uphold the firm's ethical standards while addressing issues affecting team performance.
The Senior Machine Learning Engineer will design and develop data pipelines, build and deploy machine learning models, and collaborate with various teams to integrate ML capabilities. Responsibilities include creating high-quality data infrastructure, enhancing engagement through AI technologies, and promoting data-driven decision-making across the company.
As a Senior Machine Learning Engineer, you will lead data projects for new machine learning products, improve predictive features, and collaborate with teams to integrate AI technologies into product offerings. You will evaluate algorithm performance and develop machine learning pipelines for data products, influencing company policies in the AI landscape.
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