AI‑First Data Scientist

CSC Generation

United States

On-site

USD 140,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Executive Access

AI-First Skill Building

Accelerated Career Path

Competitive benefits

Job summary

A tech-driven retail firm is seeking an AI-First Data Scientist to lead the end-to-end machine learning lifecycle. This role demands deep statistical and machine learning expertise, with hands-on work in deploying models to production. The ideal candidate will work closely with brand CEOs to integrate AI solutions that transform decision-making. A master's degree and 5+ years of applicable experience are required. Competitive benefits and a fast-paced career growth are offered.

Qualifications

5+ years’ experience in applied data science with deployment of models to production.
Strong software engineering practices including version control and testing.
Proficiency in Python and SQL.
Experience with cloud-based ML workflows and processing data at scale.
Familiarity with MLOps concepts (experiment tracking, model registry/monitoring, automated deployment, CI/CD).
Experience across predictive, time-series, and causal modeling; ability to design experiments, A/B testing, and interpret impact.
Excellent communication: able to present complex work to non-technical stakeholders and drive action.
Curiosity and a bias for building autonomous, decision-supporting systems.

Responsibilities

Lead the end-to-end ML lifecycle from data preparation to model deployment.
Build reliable data pipelines and ensure data quality.
Develop predictive and causal models.
Apply modern MLOps practices (experiment tracking, model registry/monitoring, CI/CD, observability) to keep models robust and maintainable.
Translate model outputs into clear recommendations; partner with stakeholders to drive adoption and iterate based on results.
Collaborate with engineering and product on secure integration, performance, and cost-efficiency.
Continuously research and apply emerging techniques in AI, including generative AI, automated feature engineering, and reinforcement learning.

Skills

Applied data science

Machine Learning

Python

SQL

MLOps concepts

Cloud-based workflows

Experimental design

Communication

Education

Bachelor's or Master's in Data Science, Computer Science, Statistics, Economics, or related field

Tools

AWS Sagemaker

Google Vertex AI

Job description

Overview

Direct message the job poster from CSC Generation

Senior Talent Partner | Executive & Technical Hiring | Process Optimization & Employer Brand Champion

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 Scientist who combines deep statistical and machine learning expertise with modern MLOps tooling and automation instincts. You will design and deploy production-ready ML solutions, leveraging cutting-edge platforms like AWS Sagemaker, Vertiv, and advanced causal inference techniques such as Double Machine Learning (DML). Your work will not just inform decisions—it will automate, scale, and embed intelligence directly into our operating systems.

This is a highly technical, hands-on role with direct business impact. You’ll be embedded with senior operators and report directly to a brand CEO or platform leader, supporting mission-critical decisions and creating AI systems that improve themselves over time.

What You Get to Do Every Day

Lead the end-to-end ML lifecycle—from problem framing and data preparation through model training, evaluation, deployment, monitoring, and continuous improvement.
Build reliable data pipelines and features; ensure data quality, reproducibility, documentation, and auditability, on cloud-native platforms (e.g. AWS SageMaker, Google Vertex AI).
Develop predictive and causal models; design experiments to quantify impact and guide decision‑making.
Apply modern MLOps practices (experiment tracking, model registry/monitoring, CI/CD, observability) to keep models robust and maintainable.
Translate model outputs into clear recommendations; partner with stakeholders to drive adoption and iterate based on results.
Collaborate with engineering and product on secure integration, performance, and cost‑efficiency.
Continuously research and apply emerging techniques in AI, including generative AI, automated feature engineering, and reinforcement learning.

What You Bring to the Role

5+ years’ experience in applied data science/ML with a track record of deploying models to production.
Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Economics, or related quantitative field.
Proficiency in Python and SQL; strong software engineering practices (version control, testing, reproducibility).
Experience with cloud‑based ML workflows and processing data at scale.
Familiarity with MLOps concepts (experiment tracking, model registry/monitoring, automated deployment, CI/CD).
Experience across predictive, time‑series, and causal modeling; ability to design experiments, A/B testing, and interpret impact.
Excellent communication: able to present complex work to non‑technical stakeholders and drive action.
Curiosity and a bias for building autonomous, decision‑supporting systems.

Why This Role is Different

Most data scientist roles focus on building models that live in notebooks. This one takes those models all the way to production—where they shape decisions in real time.

You won’t just be running experiments—you’ll be building the future of how our business thinks and operates. You’ll integrate AI directly into decision loops, create reusable data science products, and champion a culture of AI-first thinking across the organization.

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.

Our equal employment opportunity statements are included below to reflect our commitment to diversity and compliance with applicable laws.

The CSC family of brands 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.

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 hrbenefits@cscshared.com.

Seniority level