Data Scientist, Applied Intelligence
Los Angeles, CA, United States of America (Remote)
Los Angeles, CA, United States of America (Remote)
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.
What You’ll Do
Contribute to the 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
Help develop systems for tracking state, version history, provenance, and dependencies across workflows
Build rule-based and heuristic systems that identify conflicts, evaluate consistency, and surface issues before they create downstream problems
Support change impact analysis by helping the system reason about dependencies, cascades, and workflow consequences
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
Contribute to explainable recommendation and decision-support systems grounded in workflow context
Help define telemetry, measurement, and governance approaches for intelligence features across the platform
What We’re Looking For
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
How You Work
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
