3 дня назад
Data Scientist III (AI/NLP)
95 300 - 158 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist III (AI/NLP): Building production-ready machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding with an accent on large-scale scientific data, LLMs, semantic search, and evidence-grounded generation. Focus on fine-tuning and integrating models, developing scalable Python data pipelines, and maintaining reliable systems through monitoring, drift detection, and continuous optimization.
Location: Philadelphia, USA or Mexico City, Mexico
Salary: $95,300–$158,800 U.S. national base pay range; geographic differentials may apply.
Company
provides information, analytics, publishing, research, health education, and clinical practice solutions for researchers and healthcare professionals.
What you will do
- Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and content understanding.
- Work with large-scale scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and other heterogeneous content.
- Develop semantic search, information retrieval, entity extraction, classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation capabilities.
- Build, evaluate, fine-tune, prompt, and integrate models into robust production systems.
- Write tested Python and develop reusable data science components and scalable pipelines for preprocessing, inference, experimentation, monitoring, and improvement.
- Collaborate with engineering, product, UX, analytics, research, and domain experts while communicating model behavior, trade-offs, and recommendations.
Requirements
- Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative field.
- Experience with frontier LLMs such as OpenAI GPT, Anthropic Claude, and Google Gemini, including fine-tuning LLMs and/or SLMs.
- Strong Python skills and experience writing clean, maintainable, well-tested code.
- Knowledge of supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement.
- Experience with large-scale structured, semi-structured, or unstructured text and content datasets.
- Familiarity with Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib, along with strong analytical and communication skills.
Culture & Benefits
- Flexible working hours to support productivity and work-life balance.
- Wellbeing initiatives and country-specific benefits.
- Shared parental leave, study assistance, and sabbaticals.
- Work in a collaborative environment focused on trust, respect, agility, and quality.
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