Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI-native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.
Responsibilities
Build closed-loop decision systems using machine learning to operate consumer businesses more intelligently
Develop systems for causal response estimation, uncertainty quantification, action selection, information generation, outcome observation, policy updates, challenger evaluation, and guarded deployment
Work across causal and heterogeneous treatment-effect modeling, uncertainty estimation and calibration, contextual bandits, active learning, sequential decision-making, policy learning, constrained optimization, counterfactual and off-policy evaluation, experimentation, champion/challenger systems, and production ML infrastructure
Produce measurable economic lift in controlled experiments
Build systems that generalize across businesses, learn from interventions, and safely automate commercial decisions
Own problems end to end, from framing and modeling through production deployment and evaluation
Report to the CTO
Participate in recruiter screening, virtual interview rounds, an in-person interview at the Costa Rica office, and reference checks
Requirements
Experience in several of: machine learning and statistical modeling; causal inference and experimentation; recommendation, advertising, pricing, marketplace, credit, or other decision systems; bandits, reinforcement learning, optimization, or active learning; uncertainty estimation; counterfactual evaluation; production ML systems
Proficiency with Python and SQL
Experience working with large behavioral datasets
Exceptional technical ability and judgment
Valid LinkedIn profile URL, or a credible reason and alternative evidence of professional background if no LinkedIn profile
Must attend a mandatory in-person interview before an offer
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