Data Scientist, Applied Intelligence
RemoteUnited States
Job Summary
Design and build intelligence systems that help Liquid Engine understand workflow context, track change over time, and support consistent outputs. Translate creative and production workflows into structured representations such as entities, relationships, rules, and graphs. Build rule-based and heuristic systems that identify conflicts, evaluate consistency, and surface issues before they create downstream problems. Develop evaluation frameworks that measure system usefulness, output quality, and reduction of manual rework. Partner with engineering on event pipelines, data models, and system architecture that support intelligent system behavior. Help define telemetry, measurement, and governance approaches for intelligence features across the platform.
Required Qualifications
- 4–8+ years in data science, applied ML, or systems-oriented analytics
- Strong Python and SQL proficiency
- Experience working with complex data systems
- Familiarity with graph-based or relational reasoning
- Understanding of deterministic vs probabilistic systems
- Ability to translate ambiguous domains into structured approaches
- Strong communication skills across technical and non-technical teams
Desired Qualifications
- Experience with generative AI systems or media pipelines
- Exposure to knowledge graphs or dependency systems
- Experience with experimentation or telemetry systems
- Familiarity with governance, audit, or compliance systems
- Experience building internal tools or operator-facing systems
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