Job Title

CSC Generation is on a mission to build the most advanced AI-driven retail operating system in the industry. Our brandsincluding Sur La Table, One Kings Lane, and Backcountryrely on fast, intelligent decision-making rooted in high-integrity data. We're hiring an AI-First Data Analyst who combines deep statistical know-how with modern AI tooling and automation instincts. This is a highly technical, hands-on role. Youll build causal models, apply advanced machine learning techniques (e.g., Double ML), and develop internal data tools that help our brands operate faster, smarter, and more autonomously. Youll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisionsnot dashboards for dashboards sake. This role is designed for someone early in their career, but exceptionally gifted, ambitious, and AI-native. Youll grow fast, learn directly from executives, and become a critical part of CSCs data and AI transformation. What you get to do every day: Conduct causal analysis and treatment effect estimation using Double ML, causal forests, and uplift modeling to guide high-stakes decisions (e.g., promotions, marketing strategy, inventory management). Build AI-powered internal tools that automate analytical tasks and surface insights (e.g., GPT-powered report generation, automated anomaly detection). Develop and own dashboards and data pipelines that drive real-time visibility across sales, marketing, operations, and finance. Partner directly with business leaders to translate fuzzy questions into testable hypotheses, and then deliver answers that inform action. Identify opportunities to automate recurring analyses via custom GPTs, scripts, or workflow platforms like n8n. Work closely with engineering and data platform teams to improve data cleanliness, accessibility, and documentation. What you bring to the role: 13 years of experience in data science, quantitative analysis, or machine learning. Bachelors or Masters degree in Statistics, Economics, Computer Science, Data Science, or a related quantitative field. Expertise in causal inference frameworksespecially Double ML, A/B testing, and other counterfactual methods. Strong coding skills in Python or R; experience with SQL, Jupyter, and version control (Git). Comfortable building data pipelines and working with large datasets. Proficiency with AI tools such as ChatGPT, Claude, or custom GPTs, and a drive to integrate them into your work. Curious, fast-learning, and deeply motivated to solve business problems through analysis and automationnot just reporting. Experience with workflow automation (e.g., n8n, Make, Zapier) is a plus. Why this role is different Most data roles live downstream of decisions. This one lives at the center of them. As our AI-First Data Analyst, you wont just be running modelsyoull be shaping how our business thinks. Youll work directly with executives, build tooling used by dozens of team members, and automate away repetitive insight work so you can focus on strategic problems. We arent looking for someone to maintain dashboards. Were looking for someone to build the next generation of internal data productsand use AI to do it 10x faster. Whats in it for you? Joining CSC Generation isnt just about having a seat at the tableits about helping redesign the table entirely. Youll be challenged, stretched, and supported as you grow faster than you thought possible. In addition to competitive compensation, we offer: Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators. AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, youll build a modern tech stack that sets you apart in any industry. Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands. Competitive benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies What our interview process looks like: Step 1: If you align with our vision and meet the qualifications, well reach out to schedule a conversation and introduce CSC.