Senior AI/ML Data Scientist

Key Required Skills:
Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI and experience with clinical Domain.

Position Description:
Staying updated on the new methods in NLP, ML and Generative AI.
Understanding real world challenges and developing automated data solutions
Developing, testing, and deploying new techniques for NLP understanding
Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
Training and optimizing NLP/LLM models and creating Python based pipeline.
Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.
Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.
Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems. Provide accurate, timely, complex, and sophisticated data analysis.

Skills Requirements:
FOUNDATION FOR SUCCESS (Basic Qualifications)
Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on NLP, data science, AI/ML/LLM engineering.
Minimum 8 Year (s) of Data Scientist experience
Must be able to obtain and maintain a Public Trust. Contract requirement. 


HOW TO STAND OUT FROM THE CROWD (Desired Skills)
Showcase your knowledge of modern development through the following experience or skills:
Prior experience with federal or state governments IT projects.
Prior experience working on applications that relates to clinical domain.
Experience working in an analytical research environment.
Experience with statistical and machine learning software such as pandas and scikit-learn.
Experience in parallel processing such as GPU programming with CUDA
Mathematica
Experience using markup languages such as LaTeX, HTML, etc.
Natural Language Processing for anomaly detection

Education: 
Bachelor's degree with 12+ years of experience
Must be able to obtain and maintain a Public Trust. Contract requirement.