Senior Data Scientist

Summary

Join MCG, a leading healthcare organization, as a Senior Data Scientist to advance Natural Language Processing (NLP) research and development. You will be responsible for bringing NLP features from product requests to production code, designing and executing experiments, and building necessary tooling. This role requires expertise in Python, deep learning, and LLMs, along with experience in production deployment and working with clinical data. The position offers a competitive salary, comprehensive benefits, and the opportunity to make a meaningful impact on the US healthcare system. Remote work is available, with occasional travel required. MCG values diversity and inclusion and offers a supportive work environment.

Requirements

• 4 years of experience in Data Science or Machine Learning Engineering
• Expert level Python: able to write reliable, extensible code
• Basic knowledge of deep learning fundamentals and experience finetuning various foundation/backbone models for new tasks
• Experience using pre-trained LLM’s for zero or few-shot learning tasks
• Scientific mindset and ability to run experiments to guide model selection and hyperparameter search
• Good written communication skills
• Experience putting LLM based services into production
• Experience working with clinical data
• Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)
• Experience generating visualizations for evaluation of complex systems

Responsibilities

• Advance our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code
• Design and execute experiments and build necessary tooling
• Follow and contribute to best practices for our research activities including data collection/annotation, literature research, experimentation, and evaluation
• Create and test novel LLM based systems
• Stay informed on new methodologies for evaluating generative models and other complex deep learning techniques

Preferred Qualifications

• Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar)
• Experience generating visualizations for evaluation of complex systems

Benefits

• Remote US work
• Medical, dental, vision, life, and disability insurance
• 401K retirement plan; flexible spending and health savings account
• 15 days of paid time off + additional front-loaded personal days
• 14 company-recognized holidays + paid volunteer days
• Up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
• LGBTQ+ Health Services
• Pet insurance