Staff Data Scientist

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.

As a Staff Data Scientist you will be responsible for advancing our Natural Language Processing research and development, bringing NLP features from product request to experiment to production code. You will design and execute experiments and build necessary tooling. You will keep abreast of the state of the art in LLMs while conducting research of novel techniques to solve issues unique to our application. 

 

You will: 

• Translate desired product functionality into machine learning tasks for data scientist and machine learning engineers to solve 

• 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 

 

What We’re Looking For: 

• 6 years of experience in Data Science or Machine Learning Engineering 

• Expert level Python: able to write reliable, extensible code 

• 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 

Our Tech Stack:  

• Primarily Python jobs and applications  

• OpenAI and other Foundation model APIs 

• Pytorch on AzureML for our own training 

• Kubernetes via AKS or EKS for serving compute (with support from infra team) 

• Databricks for data lake 

• Flyte for orchestration  

• Experience with cloud-based machine learning training providers (Sagemaker, AzureML or similar) 

• Experience generating visualizations for evaluation of complex systems 

 

Pay Range: $159,450 - $223,230 

Other compensation: Bonus Eligible

Perks & 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  

📣 Check out more of our benefits here