AI-First Data Analyst (Technical & Causal)

Responsibilities:

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.

Skills:

1–3 years of experience in data science, quantitative analysis, or machine learning.
Bachelor’s or Master’s degree in Statistics, Economics, Computer Science, Data Science, or a related quantitative field.
Expertise in causal inference frameworks—especially 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 automation—not just reporting.
Experience with workflow automation (e.g., n8n, Make, Zapier) is a plus.

Benefits:

💼 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, you’ll 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.

Qualifications:

Most data roles live downstream of decisions. This one lives at the center of them.
As our AI-First Data Analyst, you won’t just be running models—you’ll be shaping how our business thinks. You’ll 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 aren’t looking for someone to maintain dashboards. We’re looking for someone to build the next generation of internal data products—and use AI to do it 10x faster.

Company Overview:

CSC Generation is on a mission to build the most advanced AI-driven retail operating system in the industry. Our brands—including Sur La Table, One Kings Lane, and Backcountry—rely 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.

Why Join Us:

Joining CSC Generation isn’t just about having a seat at the table—it’s about helping redesign the table entirely. You’ll 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, you’ll 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.