
Untitled jLead Data Architect for AI Assessment Platform (Strategic Blueprint Engagement)ob post
Upwork
Remoto
•3 hours ago
•No application
About
We are an early-stage leadership intelligence company building a platform to predict executive performance. Our methodology uses a recorded video interview to analyze a leader's decision-making, and our long-term vision is to create a powerful, self-improving "data flywheel" that becomes an unassailable asset. We are seeking an elite, senior-level Data Science consultant for a critical, foundational engagement. Your role is to serve as the chief architect for our data strategy, providing the blueprint that will govern our data collection and analysis pipeline from day one. Phased Engagement: Blueprint to Long-Term Advisor This project is structured for an expert who values high-impact, strategic work and is interested in a potential long-term advisory relationship. Milestone 1: The Data Architecture Blueprint (4-6 Hour Initial Project) • Scope: This is a focused, fixed-scope engagement. To prepare, you will be provided with a concise, 3-page "Consultant's Briefing Dossier" that outlines our core IP and objectives. This pre-read is considered part of the paid engagement. • Objective: Following a 2-hour deep-dive strategy session, your deliverable will be a comprehensive Data Architecture Blueprint that our development team can execute immediately. The Ideal Candidate: Your Experience & Skillset We are looking for a true architect, not just an analyst. The ideal candidate has a blend of deep technical expertise and strategic business acumen. Non-Negotiable Requirements: • Proven experience designing and deploying predictive scoring or classification models in a live production environment. • Deep expertise in psychometrics and survey design to ensure our data collection is scientifically valid. • Hands-on experience with feature engineering from unstructured text and sentiment data. • The ability to transform a complex business vision into a precise, developer-ready technical blueprint. Highly Desirable (The "Unicorn" Candidate): • Experience with MLOps pipelines, particularly on AWS (SageMaker). • Familiarity with the strategy behind fine-tuning Large Language Models (LLMs). • The ability and desire to act as a strategic thought partner, offering high-level recommendations on our planned tech stack and long-term data roadmap. How to Apply To ensure you have read this brief in detail, please start your proposal with the word "Architecture." In your proposal, please briefly describe the most relevant predictive scoring system you have architected or built. Crucially, explain how you ensured the data collection process was structured correctly from the start to support your model's long-term accuracy and scalability. Proposals without this specific example will not be considered. +++ I WILL POST THIS AS AN ONGOING JOB BUT THIS INITIAL CONSULTATION IS LESS THAN 1 MONTH. AS OUR TECHNOLOGY WILL BE ROLLED OUT IN 3 PHASES, AND THEN AS WE EVOLVE AND GAIN MARKET SHARE, THE IDEAL CANDIDATE WILL BE OPEN TO CONTINUED ENGAGEMENTS AS OUR NEEDS GROW AND EVOLVE. BUT INITIAL CONSULTATION IS A SMALL TIME COMMITMENT+++