Senior Data Scientist Machine Learning Operations Gen AI - Remote
Sentara Health
11d ago
0$91k - $152kDataUnited Stateshimalayas
Senior-Data-Scientist-IIISenior-Staff-Data-ScientistSenior-Data-ScientistSenior-AI-Data-Operations-ManagerSenior-AI-ML-Operations-EngineerSenior
Job Description
Sentara is hiring for a Senior Data Scientist to help advance their work applying machine learning, deep learning, and NLP to deliver better healthcare outcomes and drive data-driven decision-making. The role will leverage expertise in statistical analysis and machine learning to collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care.Requirements5+ 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.BenefitsMedical, Dental, Vision plansAdoption, Fertility and Surrogacy Reimbursement up to $10,000Paid Time Off and Sick LeavePaid Parental & Family Caregiver LeaveEmergency Backup CareLong-Term, Short-Term Disability, and Critical Illness plansLife Insurance401k/403B with Employer MatchTuition Assistance – $5,250/year and discounted educational opportunities through Guild EducationStudent Debt Pay Down – $10,000Reimbursement for certifications and free access to complete CEUs and professional developmentPet InsuranceLegal Resources PlanOriginally posted on Himalayas
