[Hiring] Senior Data Scientist Machine Learning Operations Gen AI @Sentara Health

Role Description

This position is fully remote. We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare.

• The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making.
• Collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care.
• Contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry.
• Identify gaps in our existing ML platform and architect and build solutions to address those gaps.
• Collaborate with the AI team’s ML Scientists and partner data engineering and software development teams to bring ML and Gen AI models to production.

Qualifications

• 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI.
• Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP).
• Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production.
• Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring).
• Experience with EPIC health platform is highly preferred.
• Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them.
• Experience with SQL and big data platforms such as Postgres, Redshift, and Snowflake.
• Experience with Agile/Scrum methodology and best practices.

Requirements

• Strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches.
• Strong proficiency in data analysis, data manipulation, and data visualization using Python.
• Familiarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data.
• Knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research.
• Strong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis.
• Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras).
• Solid understanding of data engineering principles, data structures, and algorithms.
• Experience in technologies, frameworks, and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred.
• Experience with one or more AI automation platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira, and GIT.

Benefits

• Medical, Dental, Vision plans
• Adoption, Fertility and Surrogacy Reimbursement up to $10,000
• Paid Time Off and Sick Leave
• Paid Parental & Family Caregiver Leave
• Emergency Backup Care
• Long-Term, Short-Term Disability, and Critical Illness plans
• Life Insurance
• 401k/403B with Employer Match
• Tuition Assistance – $5,250/year and discounted educational opportunities through Guild Education
• Student Debt Pay Down – $10,000
• Reimbursement for certifications and free access to complete CEUs and professional development
• Pet Insurance
• Legal Resources Plan
• Colleagues have the opportunity to earn an annual discretionary bonus if established system and employee eligibility criteria is met.