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Responsibilities
As a Senior Data Scientist / LLM Engineer at Qventus, you will have the opportunity to explore Qventus' unique and rich healthcare dataset to develop cutting-edge solutions that leverage a wide range of machine learning, generative AI, and behavioral science.You will evaluate potential modeling approaches, build features, implement and operationalize algorithms with your fellow data scientists and product teams, and drive meaningful advances to the quality and breadth of our ML & LLM solutions to boost Qventus intelligence and outcomes.Key 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 approachesCollaborate with Product and Clinical partners to investigate, assess, and deploy POC solutions in strategic business areasDesign comprehensive experiments and analytics to measure the net impact of our interventions in healthcare settingsCreate tools and resources to improve transparency in Data Science technical architecture and increase collaboration with engineering and analytics partnersWhat We're Looking For: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 scale1+ years experience developing and tuning LLM systems (strong experience with RAG preferred)Strong cross-functional communication with technical and non-technical partnersHands-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 maintainabilityIt's a Plus if You Have...Dedication to mentorship and growing strong collaborative data science teamsExposure to agent-based GenAI frameworksProven 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 settingExperience with healthcare data and industryPractical 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, DatabricksMaster's degree in Computer Science, Engineering, or related field, or equivalent training/experienceSome of our key benefits and perks* include but are not limited to: Open Paid Time Off, paid parental leave, professional development, wellness, and technology stipends, generous employee referral bonus, and employee stock option awards.
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