Senior Data Scientist, LLM Engineer

Summary

Join Qventus, a leading healthcare transformation company, as a Senior Data Scientist / LLM Engineer and contribute to developing cutting-edge solutions that leverage machine learning, statistical, and mathematical optimizations to improve patient outcomes.

Requirements

• 3+ years of research experience using a wide variety of statistical and machine learning techniques - particularly in NLP, explainable ML (Python)
• 2+ years of relative industry experience developing, launching, and maintaining machine learning systems at scale
• 1+ years experience developing and tuning LLM systems (strong experience with RAG preferred)
• Strong cross-functional communication with technical and non-technical partners
• Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines (SQL, Python)
• Strong software development foundations - dedication to high code quality, stable architecture, and an eye toward maintainability

Responsibilities

• Solve operational challenges in healthcare through the development, operationalization, and tuning of impactful models developed thoughtfully using a variety of machine learning, LLM, mathematical, and statistical approaches
• Collaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areas
• Design comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settings
• Create tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partners

Preferred Qualifications

• Dedication to mentorship and growing strong collaborative data science teams
• Exposure to agent-based GenAI frameworks
• Proven ability to work with domain experts to design relevant features and design, develop and tailor algorithmic solutions to problems in healthcare, particularly in the hospital setting
• Experience with healthcare data and industry
• Practical hands-on experience with Databricks; Exposure to a broad ecosystem of data platform technologies such as AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, Databricks

Benefits

• Open Paid Time Off
• Paid parental leave
• Professional development
• Wellness
• Technology stipends
• Generous employee referral bonus
• Employee stock option awards