Applied AI Data Scientist (CEO Office) – Remote | Visa + Salary Insights

📍 Location: us

🏷 Type: Not specified

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Job Overview

This role is a high-impact Applied AI Data Scientist position embedded directly within the CEO Office at a global creator economy leader. The company operates at massive scale, analyzing billions of daily content interactions across video, social, and editorial platforms. The ideal candidate is a senior-level AI expert with strong experience in machine learning systems, large-scale analytics, and production-grade data science. You will work at the intersection of AI research, business strategy, and content intelligence, influencing decisions that shape global digital media performance.

🌍 Work Eligibility & Location

This is a truly remote-first global role, allowing professionals to contribute from anywhere, provided they can collaborate effectively across distributed teams. While visa sponsorship is not confirmed, the organization operates internationally, suggesting flexibility for cross-border talent depending on engagement structure.

💰 Salary Intelligence

Although no fixed compensation is published, roles of this caliber—especially those tied to CEO-level analytics, AI agents, and large-scale ML systems—typically fall within top-tier global compensation bands. Candidates with Kaggle Master+ or competitive programming achievements often command premium packages due to scarcity and impact potential.

📊 Role Breakdown

This position sits at the core of the company’s data intelligence engine, processing over 100 billion monthly content views. You will analyze massive-scale behavioral datasets, including CTR, retention curves, engagement signals, and cross-platform audience behavior. A major part of your work involves identifying non-obvious correlations and building frameworks that convert raw data into strategic decisions.

You will design and deploy AI agents that automate analytical workflows, reducing manual reporting and accelerating insight generation. Expect to work heavily with LLMs, reinforcement learning systems, and deep learning models to extract predictive patterns from noisy, high-volume datasets. Your models will not remain theoretical—they will be deployed into production pipelines.

A key expectation is building end-to-end ML pipelines using production-grade Python and SQL, ensuring scalability and reproducibility across distributed systems. You will also validate measurement frameworks for accuracy across multiple platforms, ensuring that business decisions are grounded in statistically sound insights.

Finally, you will directly influence executive strategy by translating complex analytical outputs into actionable business recommendations. This includes challenging assumptions, redefining metrics, and building entirely new approaches to content intelligence at scale.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a highly selective role targeting elite candidates with proven technical depth and competitive programming recognition. The hiring bar is significantly above standard data science roles due to its direct integration with executive-level decision-making and massive-scale datasets.

🚀 Career Impact

This role offers exceptional long-term value due to its exposure to billions of data points and direct influence on executive strategy. Professionals in this position typically accelerate into principal AI roles, research leadership, or high-level product strategy positions.

📋 Key Responsibilities

You will be responsible for designing and maintaining AI-driven analytics systems that operate on one of the largest content datasets in the world. This includes building robust pipelines in Python, optimizing large-scale queries in SQL, and deploying machine learning models into production environments. You will analyze performance metrics such as CTR, retention, and engagement at extreme scale, ensuring statistical accuracy across platforms.

A core responsibility is developing AI agents that automate repetitive analytical tasks and enhance decision-making speed. You will experiment with LLMs and reinforcement learning to create intelligent systems capable of generating insights without manual intervention. Additionally, you will validate measurement systems, identify hidden correlations, and propose new analytical frameworks that redefine how content performance is evaluated.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role signals urgent demand for elite AI talent capable of handling massive-scale behavioral data. Competition is expected to be extremely high due to its CEO-level exposure and advanced AI scope. Candidates with proven track records in competitive programming and production ML systems should apply immediately to maximize visibility before shortlisting closes.

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✅ Job Source & Verification

This job is sourced directly from TheSoul Group’s official hiring channel via Workable. The listing reflects a verified corporate posting from a globally recognized digital media organization operating in the creator economy space. Information is based on the latest available job publication at the time of extraction.