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Senior Machine Learning Engineer, Causal & Decision Systems
Posted 1 hour ago
About the role
- 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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