Senior ML Engineer - Causal Pricing & Decision Systems

CSC Generation; Austin (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently. You will help build systems that estimate causal response and quantify uncertainty, then choose actions and observe outcomes to update policies and deploy within guardrails.

The role involves exploring causal/heterogeneous treatment‑effect modeling, uncertainty estimation, contextual bandits, policy learning, and production ML infrastructure to drive measurable

Qualifications

• Strong background in ML and statistics.
• Experience with causal inference and experimentation.
• Knowledge of decision systems and bandits is a plus.

Responsibilities

• Build systems that estimate causal response and quantify uncertainty.
• Develop policies to optimize pricing, inventory, and related decisions.
• Work on production ML infrastructure, monitoring, and deployment.

Skills

Machine learning

Causal inference

Experimentation

Python

SQL

Production ML systems

Job description

CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently. You will help build systems that estimate causal response and quantify uncertainty, then choose actions and observe outcomes to update policies and deploy within guardrails.

The role involves exploring causal/heterogeneous treatment‑effect modeling, uncertainty estimation, contextual bandits, policy learning, and production ML infrastructure to drive measurable