Lead Data Science Product Manager
Health Care Service Corporation
Senior Data Scientist, NLP/LLM Specialist
Scismic
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $155,000 - $240,000 per year
Job Level
Senior
Tech Stack
AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchSparkSQLTensorflow
About the role
- 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
- Mentor junior data scientists and provide technical guidance on NLP projects
- Develop automated content analysis, document processing, and customer insight systems
- Create scalable text analytics platforms that drive measurable business outcomes
- Work across retail, finance, healthcare, and media sectors
- Translate complex AI capabilities into clear business value propositions
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
