13 часов назад
Senior Data Scientist I (AI)
115 400 - 192 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist I (AI): Design and build production-ready AI, NLP, and generative AI systems for scientific knowledge discovery and decision support with an accent on LLM workflows, retrieval-augmented generation, and large-scale text data. Focus on developing RAG, search, ranking, and recommendation capabilities, establishing evaluation and monitoring frameworks, and deploying reliable Python solutions with engineering teams.
Location: Philadelphia, USA or Mexico City, Mexico
Salary: $115,400–$192,300 annual U.S. national base pay; geographic differentials may apply.
Company
provides information, analytics, and data-driven products supporting scientific research, healthcare, health education, and clinical practice.
What you will do
- Design, build, and evaluate AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.
- Develop LLM-powered workflows and retrieval-augmented generation systems for search, summarization, question answering, and evidence-grounded insights.
- Build intelligent retrieval, ranking, recommendation, and decision-support capabilities.
- Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.
- Establish evaluation, experimentation, and monitoring frameworks for quality, trust, performance, and reliability.
- Write production-ready Python code, collaborate with engineering teams on deployment, and provide technical leadership and mentoring.
Requirements
- Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.
- Hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.
- Expertise with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.
- Strong Python skills, solid machine learning fundamentals, and experience with large-scale text or content-rich datasets.
- Experience with RAG, semantic, vector, or hybrid search, plus experimentation and evaluation methods measuring user impact.
- Familiarity with cloud platforms, modern software engineering practices, communication, collaboration, and mentoring.
Culture & Benefits
- Work with a global team supporting education and electronic health record products.
- Flexible working hours to support productivity and work-life balance.
- Wellbeing initiatives, shared parental leave, study assistance, and sabbaticals.
- Country-specific benefits and a focus on trust, respect, collaboration, agility, and quality.
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