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3 дня назад

Data Scientist III (AI/NLP)

95 300 - 158 800$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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