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CSC Generation

First Data Scientist

San Francisco, CARemote OKFull-time$140k – $220k / year

About this role

CSC Generation - AI-First Data Scientist AI-First Data Scientist Remote - US CSC Generation (Shared Services - US) – Engineering / Full Time / Remote apply for this job CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs. Reports to: VP of Engineering Location: Remote - US About the Role - As an AI-First Data Scientist at CSC Generation, you will sit at the center of our Genesis platform strategy — building the machine learning and AI systems that power decisions across 13+ brands. This role exists because we are moving beyond one-off analyses and ad hoc models toward a reusable, production-grade data science practice that scales across the entire portfolio. You will own work end-to-end, from problem framing and experimentation through deployment and monitoring, in close partnership with engineering, product, and analytics teams. At six months, you will have models running in production, a repeatable framework others can build on, and a clear line of sight into how your work is moving business metrics. At twelve months, you will be the go-to for scoping and delivering high-impact AI solutions and a contributor to how we evolve our AI capabilities across the organization. What You'll Do - Design, build, and deploy machine learning models end-to-end — from data exploration and feature engineering through production deployment and monitoring. - Integrate AI and predictive models directly into business decision loops, including pricing optimization, demand forecasting, customer segmentation, and personalization. - Develop reusab

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