Senior Gen AI & Causal ML Data Scientist

Golden Resources; Cincinnati (OH); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Golden Resources is seeking a senior Data Scientist to shape and implement Gen AI and causal ML initiatives. You will lead end-to-end data science projects, partnering with product and cross-functional teams to drive vision and strategy in personalization and loyalty.

We are looking for a technically strong data scientist who can advance Gen AI capabilities, design scalable solutions, and translate business needs into science roadmaps with emphasis on production quality and collaboration.

Qualifications

• 3+ years of applied data science experience with growing scope.
• Hands-on with Generative AI applications (LLM tuning, prompts, RAG, agentic workflows).
• Familiarity with causal ML and causal inference methods (CATE, DiD, matching).
• Strong Python, SQL, and Git skills; experience with Azure and Databricks.
• Experience deploying production-quality ML systems following software practices.

Responsibilities

• Advance AI capabilities by designing and deploying Gen AI solutions and integrating them into measurement workflows.
• Lead end-to-end data science projects from research to productionization with reproducibility.
• Collaborate with product managers to shape vision, roadmap, and prioritization of science products.
• Develop a scalable science layer to consolidate scattered capabilities into a unified framework.
• Apply causal ML methods to support measurement, experimentation, and personalization at scale.
• Build and maintain production ML and experimentation pipelines with CI/CD and testing.

Job description

Golden Resources is seeking a senior Data Scientist to shape and implement Gen AI and causal ML initiatives. You will lead end-to-end data science projects, partnering with product and cross-functional teams to drive vision and strategy in personalization and loyalty.

We are looking for a technically strong data scientist who can advance Gen AI capabilities, design scalable solutions, and translate business needs into science roadmaps with emphasis on production quality and collaboration.