2 дня назад
Data Scientist (NLP)
177 200 - 216 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (NLP) (National Security and Space Defense): Developing and deploying NLP, machine learning, and deep learning solutions for intelligence, personnel, and performance data with an accent on language models, text analytics, and GPU-accelerated computing. Focus on training and optimizing models for text classification, topic modeling, information extraction, and large-scale statistical analysis.
Location: On-site in McLean, Virginia, United States
Basic compensation: $177,200–$216,500 annually for the Virginia area. Additional compensation may include bonuses, incentives, sign-on bonuses, or relocation benefits.
Company
provides engineering and advanced technology solutions for intelligence, national security, space defense, logistics, operations, science, program management, mission IT, and cybersecurity customers.
What you will do
- Develop and deploy NLP solutions with Python packages including SpaCy, Gensim, and NLTK.
- Design, train, evaluate, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and Keras.
- Use Hugging Face Transformers and its model hub to build language models and text analytics solutions.
- Create and maintain models for text classification, topic modeling, information extraction, and related NLP tasks.
- Analyze personnel, intelligence, and performance metrics to identify trends, relationships, and actionable insights.
- Query and analyze large datasets with SQL and use GPU-accelerated environments for training, inference, and analytical processing.
Requirements
- Active TS/SCI clearance with a polygraph is required.
- At least 10 years of experience is required.
- Experience or academic exposure to Python-based NLP packages, deep learning frameworks, Hugging Face Transformers, text classification, and topic modeling.
- Experience using SQL to access, manipulate, and analyze large datasets.
- Experience with GPU-accelerated computing and advanced statistical analysis.
- A bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field is desired.
Nice to have
- Experience tuning large language models on custom datasets.
- Experience with cloud computing development and architectures.
- Experience with Spring Boot for backend applications and REST APIs.
Culture & Benefits
- Collaborative and intellectually stimulating environment focused on innovation.
- Minimal travel and standard working hours.
- Benefits may include a 401(k) plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability coverage, and paid time off.
- Professional training and development support.
- Additional benefits may include flexible work schedules and relocation assistance.
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