Data Scientist, Applied Intelligence

Job not on LinkedIn

🕒 July 27

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Secret Level

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

📱 Media

🤖 Artificial Intelligence

📣 Marketing

Media • Artificial Intelligence • Marketing

Secret Level is an AI-native entertainment studio that creates films, series, and branded worlds using AI to accelerate production while maintaining Hollywood-quality craftsmanship. The company produces original narrative projects (examples listed include Ashwick, The Heist, Imperfectly Perfect) and brand work for clients such as Coca-Cola and Raising Cane's, positioning itself at the intersection of entertainment, advertising, and AI-driven content creation.

📋 Description

• 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

• 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

• None specified