Data Scientist, Applied Intelligence

Secret Level • Los Angeles, CA

2d

About The Position

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.

Requirements

• 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
• 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

Nice To Haves

• 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

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed