AI-First Data Analyst (Technical & Causal)
About the Job
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.
This is a highly technical, hands-on role. You’ll 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. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisions—not dashboards for dashboards’ sake.
This role is designed for someone early in their career, but exceptionally gifted, ambitious, and AI-native. You’ll grow fast, learn directly from top operators, and have a direct impact on our business.
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:
• 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.
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 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.
What’s in it for you?
• 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.
What our interview process looks like:
• Step 1: If you align with our vision and meet the qualifications, we’ll reach out to schedule a conversation and introduce CSC.
• Step 2: You’ll complete a short AI or product-building challenge so we can understand how you approach problems and execution.
• Step 3: Participate in deep-dive interviews with CSC leadership focused on your experience, product mindset, and operational thinking.
• Step 4: Offer. We’ll move fast for the right candidate.
Additional Information
For US-based candidates, this posting is intended for candidates that reside in the following states: AZ, DE, FL, GA, IN, LA, MI, MS, MO, NV, NC, OK, OR, PA, TN, TX, UT, VA, WV, WI, and WY.
Our preference is for candidates who reside near our hubs in Northwest Indiana, Austin, Texas, and Toronto, Ontario.
Washington state applicants only: If you believe that this job posting does not comply with applicable Washington state law, please notify us by sending an email to [email protected].
The CSC Generation provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws.
It is unlawful in Massachusetts to require or administer a lie-detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The CSC family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please contact [email protected].
Apply Now
Apply Now
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.
This is a highly technical, hands-on role. You’ll 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. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting real decisions—not dashboards for dashboards’ sake.
This role is designed for someone early in their career, but exceptionally gifted, ambitious, and AI-native. You’ll grow fast, learn directly from top operators, and have a direct impact on our business.
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:
• 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.
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 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.
What’s in it for you?
• 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.
What our interview process looks like:
• Step 1: If you align with our vision and meet the qualifications, we’ll reach out to schedule a conversation and introduce CSC.
• Step 2: You’ll complete a short AI or product-building challenge so we can understand how you approach problems and execution.
• Step 3: Participate in deep-dive interviews with CSC leadership focused on your experience, product mindset, and operational thinking.
• Step 4: Offer. We’ll move fast for the right candidate.
Additional Information
For US-based candidates, this posting is intended for candidates that reside in the following states: AZ, DE, FL, GA, IN, LA, MI, MS, MO, NV, NC, OK, OR, PA, TN, TX, UT, VA, WV, WI, and WY.
Our preference is for candidates who reside near our hubs in Northwest Indiana, Austin, Texas, and Toronto, Ontario.
Washington state applicants only: If you believe that this job posting does not comply with applicable Washington state law, please notify us by sending an email to [email protected].
The CSC Generation provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, provincial, state or local laws.
It is unlawful in Massachusetts to require or administer a lie-detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The CSC family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please contact [email protected].
Apply Now
Apply Now