Data Scientist, Applied Intelligence
secret levelDenver (CO)
About the role
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 systemsFamiliarity 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 systemsExperience with experimentation or telemetry systemsFamiliarity with governance, audit, or compliance systemsExperience building internal tools or operator-facing systems
- How You WorkYou 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
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
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Two examples you can talk through
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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