Data Scientist, Applied Intelligence

This is a fully remote position, open to applicants in California.

📋 Description

• Participate in the design and development of intelligent systems that enable Liquid Engine to comprehend workflow context, monitor changes over time, and ensure consistent outputs.

• Convert creative and production workflows into structured formats such as entities, relationships, rules, and graphs.

• Assist in creating systems for monitoring state, version history, provenance, and dependencies across various workflows.

• Develop rule-based and heuristic systems that detect conflicts, assess consistency, and highlight issues before they lead to downstream complications.

• Aid in change impact analysis by enabling the system to understand dependencies, cascades, and the implications of workflows.

• Create evaluation frameworks that assess the usefulness of systems, the quality of outputs, and the reduction of manual rework.

• Collaborate with engineering on event pipelines, data models, and system architecture that facilitate intelligent system behavior.

• Contribute to explainable recommendation and decision-support systems that are rooted in workflow context.

• Assist in defining telemetry, measurement, and governance strategies for intelligence features throughout the platform.

⛳️ Requirements

• 4–8+ years of experience in data science, applied machine learning, or systems-oriented analytics.

• Proficient in Python and SQL.

• Experience with complex data systems.

• Familiarity with graph-based or relational reasoning.

• Understanding of deterministic versus probabilistic systems.

• Ability to transform ambiguous domains into structured methodologies.

• Strong communication skills for effective interaction between technical and non-technical teams.

🏝️ Benefits

• None specified