Senior Machine Learning Engineer, Causal & Decision Systems

About the role

CSC Generation is an AI-native holding company re-engineering omnichannel retail, with a portfolio of consumer brands including Sur La Table, Backcountry and One Kings Lane. It is building closed-loop decision systems that use machine learning to make consumer businesses smarter, starting with pricing and expanding into inventory, purchasing, promotions, marketing and assortment. The role reports to the Chief Technology Officer and is hybrid, based in Costa Rica.

Key responsibilities

• Build systems that estimate causal response and quantify uncertainty, choose actions, generate information, observe outcomes, update policies, evaluate challengers and deploy within guardrails.
• Depending on your background, work on causal and heterogeneous treatment-effect modeling, uncertainty estimation and calibration, contextual bandits, active learning or sequential decision-making, policy learning and constrained optimization, counterfactual and off-policy evaluation, experimentation and champion/challenger systems, or production ML infrastructure, monitoring and automated deployment.
• Own problems end to end, from framing and modeling through production deployment and evaluation.

Required profile

• 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, and production ML systems.
• Experience with Python, SQL and large behavioral datasets.
• Willingness to attend a mandatory in-person interview at the Costa Rica office before an offer.

What we offer

• Primarily remote work.
• Private medical and life insurance, additional paid time off, monthly allowances and reimbursements, employee discounts and professional growth opportunities.