AI Data Scientist

Summary

Beth Israel Lahey Health is a healthcare organization seeking an AI Data Scientist to advance healthcare analytics through machine learning, predictive analytics, NLP, LLMs, and Generative AI. The role develops and deploys scalable machine learning solutions, analyzes clinical and business data, and collaborates with technical, business, and clinical stakeholders to improve patient and provider outcomes.

Responsibilities

• Collaborates with business stakeholders to document business problems requiring advanced analytics; develop, evaluate and implement machine learning models to improve business operations. (essential)
• Collaborates with Software Engineering, Data Engineering and clinical team to structure and normalize data systems and other data enrichment sources. (essential)
• Works on feature engineering, statistical analysis, develop novel ML techniques, understanding classifier performance, and ensuring fit-for-purpose; creates machine learning algorithms to optimize and deliver results, perform hyper-parameter tuning, and evaluated model performance. (essential)
• Works with cognitive computing platforms to improve predictions about patient outcomes, focuses on configuring, operationalizing, and reporting on vendor developed models. (essential)
• Visualizes and interprets data and model results (essential)
• Uses machine learning frameworks in both development, testing and production environments. (essential)
• Participates on all parts of the machine learning project lifecycle from dataset curation to model deployment. (essential)
• Performs all other duties as needed or directed to meet the needs of the department and or customer. (essential)
• Achieves and maintains required certifications (if applicable). (essential)

Skills

• 1. bachelor's degree in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field: or equivalent years of experience
• 2. 1 - 3 Years: Experience in an engineer role Industry experience in software engineering and data science
• 1. Strong background and experience in ML NLP, especially transformer-based ML and Large Language Models
• 2. Working knowledge of one or more of the following NLP fields: Information Retrieval, Question Answering/Conversational AI, Reinforcement Learning
• 3. Hands-on with latest Generative AI developments in the past year with exposure to finetuning, prompting strategies and optimization of models for inferencing
• 4. Experience with working on large data sets, especially with Spark
• 5. Experience with cloud computing platforms such as AWS, Azure or GCP
• 1. Knowledge and experience using basic and intermediate project management tools and techniques
• 2. Programming skills with fluency in Python and its libraryies such as NumPy, Pandas, Scikit-learn, Matplotlib and Seaborn; experience in working with deep learning framework Pytorch, tensorflow or Keras
• 3. Familiar with entire data science process life cycle
• 4. A proven track record of producing quality deliverables on time, taking ownership and accountability of assignments and demonstrating a strong work ethic
• Working experiece in Healthcare

Qualifications

Must Haves

• 1. bachelor's degree in computer science, statistics, mathematics, physical science, engineering, or a comparable related technical field: or equivalent years of experience
• 2. 1 - 3 Years: Experience in an engineer role Industry experience in software engineering and data science
• 1. Strong background and experience in ML NLP, especially transformer-based ML and Large Language Models
• 2. Working knowledge of one or more of the following NLP fields: Information Retrieval, Question Answering/Conversational AI, Reinforcement Learning
• 3. Hands-on with latest Generative AI developments in the past year with exposure to finetuning, prompting strategies and optimization of models for inferencing
• 4. Experience with working on large data sets, especially with Spark
• 5. Experience with cloud computing platforms such as AWS, Azure or GCP

Nice to Haves

• 1. Knowledge and experience using basic and intermediate project management tools and techniques
• 2. Programming skills with fluency in Python and its libraryies such as NumPy, Pandas, Scikit-learn, Matplotlib and Seaborn; experience in working with deep learning framework Pytorch, tensorflow or Keras
• 3. Familiar with entire data science process life cycle
• 4. A proven track record of producing quality deliverables on time, taking ownership and accountability of assignments and demonstrating a strong work ethic
• Working experiece in Healthcare