Data Scientist, Applied Intelligence

Secret Level is building Liquid Engine, a production platform for AI-driven content creation. We’re developing systems that help creative workflows stay structured, consistent, and observable as they scale across tools, people, and outputs.

We’re looking for a Data Scientist, Applied Intelligence to join our Intelligence group within the broader Product and Engineering organization.

This is not a traditional analytics role. You will help design the logic, data structures, and evaluation systems that allow intelligence to operate inside a creative production environment. That includes representing workflows in structured ways, reasoning about change and dependencies, tracking provenance and version history, and building systems that support explainable, human-guided decision-making.

You’ll work closely with engineering, product, and creative stakeholders to turn ambiguous workflow problems into reliable, measurable, and useful systems.

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  Contribute to the design and build intelligence systems that help Liquid Engine understand workflow context, track change over time, and support consistent outputs

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  Translate creative and production workflows into structured representations such as entities, relationships, rules, and graphs

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  Help develop systems for tracking state, version history, provenance, and dependencies across workflows

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  Build rule-based and heuristic systems that identify conflicts, evaluate consistency, and surface issues before they create downstream problems

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  Support change impact analysis by helping the system reason about dependencies, cascades, and workflow consequences

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  Develop evaluation frameworks that measure system usefulness, output quality, and reduction of manual rework

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  Partner with engineering on event pipelines, data models, and system architecture that support intelligent system behavior

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  Contribute to explainable recommendation and decision-support systems grounded in workflow context

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  Help define telemetry, measurement, and governance approaches for intelligence features across the platform

Core Skills

• 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

Nice to Have

• 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

• You think in systems, not just models

• You value clarity, explainability, and correctness

• You are comfortable operating in ambiguity

• You avoid premature abstraction or unnecessary complexity

• You collaborate closely with engineers, product, and creative teams

• You know when restraint is the right solution