Data Science Lead
# Data Science Lead **Madiff** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Science]` `[AI-Engineering]` `[Machine-Learning-Engineering]` `[Generative-AI]` `[NLP-Engineering]` `[Data-Science-Team-Lead]` `[Head-Of-Data-Science]` `[Data-Science-Leadership-Jobs]` `[Director-Data-Science]` `[Data-Science-Director]` --- ### About the Role This is a remote position. We are looking for a Data Science Lead to join a high-impact AI programme operating within a strictly regulated pharmaceutical environment. The role focuses on leading the machine learning and GenAI architecture behind a production-grade compliance platform that automates regulatory validation of marketing materials. This is a strategic, enterprise-scale initiative requiring strong ownership, architectural thinking, and hands-on depth in LLM-driven systems. Responsibilities - Design and evolve AI and ML architecture supporting compliance validation workflows - Design and optimise LLM-driven retrieval and validation pipelines (RAG-based systems) - Own evaluation frameworks, benchmarking strategies, and continuous improvement loops - Implement explainability and traceability mechanisms aligned with regulatory standards - Collaborate closely with ML Engineers and Backend teams on productionisation of AI components - Drive decisions around embeddings, vector databases, and retrieval strategies - Ensure reproducible, testable, and high-quality AI workflows - Support scaling the platform into an enterprise-grade AI solution - Lead technical discussions across product, engineering, and compliance stakeholders Requirements - Strong hands-on background in Data Science and applied Machine Learning - Proven experience designing and deploying LLM-based systems in production - Practical experience with Retrieval Augmented Generation architectures - Experience with vector databases and embedding pipelines - Strong Python expertise and familiarity with modern AI frameworks - Experience designing model evaluation and validation frameworks - Ability to operate in regulated or compliance-heavy environments - Strong ownership mindset and ability to influence architectural decisions - Confident communication skills in cross-functional environments Nice to have - Experience in pharmaceutical, healthcare, or other regulated industries - Exposure to explainable AI methodologies or frameworks - Experience with document intelligence and NLP-heavy pipelines - Background in enterprise-scale AI platforms rather than proof-of-concept environments Benefits - Solid, competitive salary - Work in a multinational environment on international projects - Comprehensive healthcare - Long-term B2B contract with a stable project pipeline - Fully remote working model Originally posted on Himalayas
- Data-Science
- AI-Engineering
- Machine-Learning-Engineering
- Generative-AI
- NLP-Engineering
- Data-Science-Team-Lead
- Head-Of-Data-Science
- Data-Science-Leadership-Jobs
- Director-Data-Science
- Data-Science-Director
Наблюдалась 2026-10-19, впервые 2026-10-19, источник — Himalayas (JSON API).