Data Scientist, Applied Intelligence

Secret Level

Data Scientist developing intelligence systems for AI-driven content creation at Secret Level. Collaborating with teams to create structured representations of workflows and decision-support systems.

Posted 7/27/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and applied machine learning, with strong proficiency in Python and SQL. Capable of translating complex workflows into structured representations and developing systems for tracking dependencies and evaluating system performance.

Highest-signal resume keywords

Data ScienceApplied Machine LearningPython ProficiencySQL ProficiencyGraph-Based Reasoning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceApplied Machine LearningPythonSQLComplex Data SystemsGraph-Based ReasoningRelational ReasoningDeterministic SystemsProbabilistic SystemsChange Impact Analysis

Soft Skills

Strong Communication Skills

Industry Keywords

Intelligence SystemsWorkflow ContextVersion HistoryProvenanceDependenciesEvaluation FrameworksTelemetryGovernance Approaches

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

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