The company is seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join the consulting practice and solve complex business challenges using state-of-the-art AI technologies across diverse industries for Fortune 500 clients.
Requirements
- PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field
- Advanced NLP expertise: Deep understanding of transformer architectures, attention mechanisms, and modern NLP techniques
- Large Language Model proficiency: Hands-on experience with LLM fine-tuning, prompt engineering, RLHF, and deployment at scale
- Programming mastery: Expert-level Python, with strong knowledge of PyTorch/TensorFlow, Hugging Face ecosystem
- MLOps & Infrastructure: Experience with model deployment, monitoring, and scaling in production environments
- Experience writing production code and ensuring well-managed software delivery
- Experience with foundation models (GPT, BERT, T5, LLaMA, etc.)
Responsibilities
- Lead client workshops and discovery sessions to identify NLP opportunities
- Develop and present technical proposals to C-level executives
- Manage multiple client projects simultaneously while maintaining quality and timelines
- Design and implement novel NLP solutions for complex business problems
- Architect scalable solutions for processing and analyzing large text corpora
- Build custom language models tailored to each client's unique industry challenges
- Automate repetitive analytical tasks and develop reusable algorithmic frameworks
Other
- Minimum 5 years of professional experience in data science, machine learning, or related roles
- Strong presentation skills and the ability to build trust with senior executives
- Hybrid work environment with home and office schedule (2+ days in office per week) and work from anywhere weeks
- Comprehensive health benefits (healthcare, vision, dental, pet, home, and auto insurance)
- Generous time off policies (unlimited paid time off, wellness days, national holidays, summer Fridays)
