Impactful Data Scientist: ML/LLM for Healthcare

Wwshemi; Northern (KY); Vor Ort; USD 130.000 - 170.000; Vollzeit

Benefits dieser Stelle

Open Paid Time Off

Paid parental leave

Professional development

Wellness and technology stipends

Employee referral bonus

Employee stock option awards

Zusammenfassung

Qventus is seeking an experienced Data Scientist to drive ML and LLM solutions in healthcare, collaborating with clinicians, data scientists, and product teams. You will build and deploy models, evaluate approaches, and contribute to AI-driven improvements in patient care.

3+ years in ML production, 1+ years with LLMs, and strong Python/SQL data engineering skills are required. Attractive compensation, full benefits, and opportunity to impact patient outcomes are offered.

Qualifikationen

• 3+ years of industry experience developing, launching, and maintaining ML systems in production at scale.
• 1+ years experience developing and tuning LLM systems.
• Strong cross-functional communication with technical and non-technical partners.
• Hands-on data engineering with Python and SQL.

Aufgaben

• Build, refine, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches.
• Develop, tune, and deploy LLM systems with rigorous evaluation of performance and trust.
• Design experiments and analytics to measure AI impact in healthcare settings.
• Perform data cleaning, transformation, and pipeline building (SQL, Python).
• Collaborate with cross-functional teams to translate data insights into deployed products.
• Communicate findings clearly to technical and non-technical audiences.

Kenntnisse

ML models

LLM systems

Python

SQL

Data engineering

NLP

Explainable AI

Cross-functional comms

Ausbildung

Master’s degree or equivalent

Tools

Databricks

AWS

DBT

Jobbeschreibung

Qventus is seeking an experienced Data Scientist to drive ML and LLM solutions in healthcare, collaborating with clinicians, data scientists, and product teams. You will build and deploy models, evaluate approaches, and contribute to AI-driven improvements in patient care.

3+ years in ML production, 1+ years with LLMs, and strong Python/SQL data engineering skills are required. Attractive compensation, full benefits, and opportunity to impact patient outcomes are offered.