CSC Generation · 3 days ago
AI-First Data Scientist
United States
Full-time
Remote
Senior Level
5+ years expCSC Generation is an AI-native holding company focused on transforming omni-channel retail through innovative solutions. They are seeking an AI-First Data Scientist to design and deploy production-ready ML solutions, working closely with senior operators to create AI systems that drive business impact.
AnalyticsFinanceRetailSoftware
Responsibilities
Develop and deploy end-to-end ML pipelines using modern MLOps practices, cloud-native platforms (e.g., AWS Sagemaker), and scalable infrastructure
Conduct causal analysis and treatment effect estimation using DML, causal forests, uplift modeling, and other counterfactual inference techniques to guide high-stakes business strategy
Build, train, and optimize predictive and prescriptive models for use cases like pricing, promotions, inventory, marketing attribution, and personalization
Integrate models into production systems and monitor their performance using advanced observability tools (yes, even Happyface), including diagnosing drift and data quality issues
Partner directly with business leaders to translate ambiguous business problems into machine learning frameworks that deliver measurable ROI
Collaborate with engineering teams to improve data pipelines, ensure model reproducibility, and maintain version-controlled, CI/CD-enabled ML workflows
Continuously research and apply emerging techniques in AI, including generative AI, automated feature engineering, and reinforcement learning
Take complex, high-impact problems end to end - from exploration and feature design through model selection, backtesting, and production deployment with clear impact metrics
Design robust experiment and quasi-experiment setups (A/B tests, holdouts, staggered rollouts) and recommend approaches when fully randomized tests are not feasible
Qualification
Required
5+ years of experience in applied data science, machine learning engineering, with a proven track record of deploying ML models into production
Master or PhD degree in Data Science, Computer Science, Statistics, Economics, or related quantitative field
Expertise in causal inference frameworks—especially Double Machine Learning (DML), A/B testing, uplift modeling, and other counterfactual methods
Strong proficiency in Python or R, with hands-on experience in SQL, Jupyter, Git, and cloud ML platforms (AWS Sagemaker experience preferred)
Familiarity with MLOps tools for experiment tracking, model registry, reproducibility, and automated deployment
Experience working with large datasets, distributed computing frameworks, and data engineering best practices
Strong experience applying advanced causal and time-series methods in real-world settings, including diagnosing bias, drift, and data quality issues
Demonstrated ability to independently take ambiguous, cross-functional problems from zero to a deployed ML solution with clear success metrics and post-launch evaluation
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.
Company
CSC Generation
CSC Generation develops a proprietary technology platform designed to save brands from liquidating.
1001-5000 employees
H1B Sponsorship
CSC Generation has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2023 (5)
2022 (7)
2021 (3)
Funding
Current Stage
Late StageTotal Funding
unknown2024-08-27Series E
2021-10-01Series D
2019-01-01Series Unknown
Leadership Team
Justin Yoshimura
Founder, Chairman and CEO
Recent News
2025-07-19
2025-03-28
Company data provided by crunchbase