Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s consumer businesses. Developing pricing and other commercial automation using experimentation, uncertainty, and policy learning.
Responsibilities
Build closed-loop machine-learning decision systems for consumer businesses, initially focused on pricing and expanding to inventory, purchasing, promotions, marketing, and assortment
Estimate causal responses and quantify uncertainty to choose actions
Generate useful information, observe outcomes, update policies, evaluate challenger policies, and deploy within guardrails
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
Generalize systems across businesses, learn from interventions, and safely automate commercial decisions
Apply the decision-system capability across a portfolio of businesses and increasingly broad commercial decisions
Requirements
Exceptional technical ability and judgment
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
Experience with Python, SQL, and large behavioral datasets
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