We are seeking an exceptional Senior Data Scientist with deep expertise in Natural Language Processing and Large Language Models to join our consulting practice. You'll work directly with Fortune 500 clients to solve complex business challenges using state-of-the-art AI technologies across diverse industries.
Requirements
- PhD in Computer Science, Computational Linguistics, Statistics, Mathematics, Economics, Econometrics, or related quantitative field
- Minimum 5 years of professional experience in data science, machine learning, or related roles
- 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.)
- Knowledge of retrieval-augmented generation (RAG) systems
- Understanding of model compression techniques (quantization, distillation, pruning)
- Experience with evaluation metrics and benchmarking for language models
Benefits
- 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)
- Four-week sabbatical every five consecutive years of employment
- Exceptional parental leave benefits
- Global mentorship and networking programs
- Monthly cell phone reimbursement
- 401k savings and employee stock purchase plan
- Volunteer hours (20 hours annually) for designated non-profit partner and personal choice
- Globally driven inclusive initiatives (Employee Advocacy Groups, equity committee)
- Career growth opportunities, such as Allison University (multi-day customized trainings for each level)
