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# Senior AI Data Scientist

- **Company:** Scion Staffing, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $220,000.0
- **Contract:** Contract
- **Skills:** A/B Testing, Artificial Intelligence, Big Data, Python (Programming Language), Machine Learning, Routing, Software Product Management, SQL Databases, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Information Technology, Machine Learning Operations
- **Published:** August 31, 2026
- **Apply:** https://www.disabledperson.com/jobs/74618402-senior-ai-data-scientist

## About the Role

* At least 5 years of experience in data science, applied machine learning, or quantitative research, or at least 3 years of relevant experience with a PhD.
 * Bachelor's degree required in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or another highly quantitative field.
 * Advanced proficiency in Python and SQL, including experience building scalable data and ML pipelines and working with large, complex datasets.
 * Demonstrated experience taking an ML or AI product from initial concept through production, with real users relying on the resulting system.
 * Hands-on experience with model evaluation, routing, production fine-tuning, A/B testing, offline evaluations, and ML benchmarking.
 * Experience with RAG, vector databases, embeddings, LLMs, and agent orchestration, along with knowledge of statistics, causal inference, predictive modeling, and Bayesian techniques.
 * Ability to explain technical decisions clearly, and thrive in an entrepreneurial environment

## Description

The Senior AI Data Scientist will build and productionize machine learning and AI capabilities that transform large, complex datasets into scalable products used by real customers. The first 90 days will focus on model evaluation, routing, offline benchmarking, and production fine-tuning, followed by custom predictive and machine learning models as additional data becomes available. This hands-on individual contributor will collaborate across data science, engineering, product, and business operations in a fast-moving, cross-functional environment., * Evaluate and productionize AI and machine learning systems, initially focusing on model evaluation, routing approaches, offline benchmarking, and production fine-tuning.

 * Own ML and AI products from inception through production, ensuring they are scalable, maintainable, and valuable to real users.
 * Build scalable data and machine learning pipelines using Python and SQL to transform large, complex datasets into structured, modeling-ready information.
 * Develop predictive and custom machine learning models using statistical, causal inference, Bayesian, and other practical algorithmic approaches.
 * Build AI capabilities using retrieval-augmented generation (RAG), vector databases, embedding models, large language models, and agent orchestration.
 * Design and interpret A/B tests, offline evaluations, and ML benchmarks while clearly communicating hypotheses, technical decisions, results, and tradeoffs.


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