Senior Machine Learning Engineer, Causal & Decision Systems
CSC Generation2 months ago
Responsibilities
- Build causal and heterogeneous treatment-effect models for pricing and other commercial decisions.
- Develop systems for uncertainty estimation, contextual bandits, active learning, sequential decision-making, policy learning, and constrained optimization.
- Implement counterfactual and off-policy evaluation, experimentation, and champion/challenger systems.
- Build production ML infrastructure with monitoring and automated deployment.
- Own problems end to end from framing and modeling through production deployment and evaluation.
- Deliver measurable economic lift through controlled experiments while respecting inventory, margin, vendor, customer, and operational constraints.
Requirements
- Experience in machine learning and statistical modeling.
- Experience with causal inference and experimentation.
- Experience with recommendation, advertising, pricing, marketplace, credit, or other decision systems.
- Experience with bandits, reinforcement learning, optimization, or active learning.
- Experience with uncertainty estimation and counterfactual evaluation.
- Experience building production ML systems.
- Proficiency with Python and SQL and experience working with large behavioral datasets.
- Exceptional technical ability and judgment, with experience in several of the listed areas.
Benefits
- Comprehensive benefits including paid time off, 401(k) match, medical, dental, vision, and supplemental coverage.
- Employee discounts across portfolio brands.
- Hybrid work arrangement in Austin, Texas.
- Mandatory in-person interview and final on-site visit at the Austin office.
- Candidates for US-based roles must reside in one of the listed eligible states.
Categories
About CSC Generation
CSC Generation is a Chicago-based holding company that acquires and restructures consumer retail brands, focusing on e-commerce and omnichannel operations. It runs an AI-driven operating platform and shared services to modernize merchandising, marketing, and supply chain, then operates the brands for profitability. Founded in 2016 and privately held, its portfolio has included Sur La Table and One Kings Lane, and it expands primarily through M&A.