Senior Data Scientist

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Prominence Advisors

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2014

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

🏢 Corporativo

Healthcare Insurance • Artificial Intelligence • Enterprise

A Prominence Advisors é uma empresa de habilitação de dados que tem capacitado sistemas de saúde em todo os Estados Unidos com análises de autoatendimento desde 2011. Eles integram dados de múltiplas fontes em tempo real, permitindo que grandes fornecedores de saúde maximizem o valor dos seus dados. A Prominence ajuda organizações de saúde a utilizarem seus dados para tornar a assistência médica mais inteligente, melhorar os resultados dos pacientes, reduzir os custos de cuidado e aumentar a eficiência operacional. Suas soluções economizaram milhões de dólares para os clientes e capacitaram líderes de saúde, construindo confiança em seus dados através de análises de autoatendimento governadas.

Descrição

• Design, build, validate, and deploy machine learning models across the full data science lifecycle, including exploratory analysis, feature engineering, model development, validation, deployment, and monitoring. • Develop advanced analytics solutions for clinical prediction, population health, operational optimization, and research enablement. • Build AI-powered applications leveraging LLM APIs, prompt engineering, and RAG pipelines to support clinical and operational workflows. • Ability to work with diverse healthcare data sources including EHRs, claims, and clinical registries. • Translate complex analytical findings into meaningful, actionable insights for clinical and operational stakeholders. • Manage documentation of best practices and scalable frameworks that can be applied across client engagements. • Mentor and guide client counterparts to build the skills needed to sustain and expand on project deliverables.

🎯 Requisitos

• 3–5+ years of professional experience in data science, machine learning, or a closely related quantitative role. • Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL for data extraction and manipulation. • Hands-on experience building, validating, and deploying machine learning models (classification, regression, clustering, time-series forecasting). • Experience with MLOps best practices (model versioning, CI/CD for ML, experiment tracking with MLflow or similar, continuous monitoring). • Practical experience building AI-powered solutions using LLM APIs, prompt engineering, and RAG pipelines. • Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake. • Strong communication skills with the ability to present technical findings to non-technical audiences. • Healthcare industry knowledge and experience including EHR data, claims, HL7/FHIR, clinical terminologies. • Experience with population health analytics, risk stratification, or social determinants of health. • Understanding of research enablement workflows including cohort identification, clinical trial matching, and outcomes research. • Experience with vector databases, embeddings, fine-tuning, or LLM evaluation frameworks. • Familiarity with data visualization and BI tools (Tableau, Power BI, or Looker). • Revenue cycle, staffing optimization, or other operational analytics experience. • Advanced degree (Master's or PhD) in a quantitative field such as computer science, statistics, biostatistics, or a related discipline

🏖️ Benefícios

• Competitive Salaried and Hybrid Compensation Plans • Health Care Plan (Medical, HSAs, Dental & Vision) • Retirement Plan (401k) • Life Insurance (Basic, Voluntary & AD&D) • Dependent & Health Savings Accounts • Short Term & Long Term Disability • Paid Time Off (Vacation/Sick & Public Holidays) • Training & Development Fund • Work From Home • Charitable Giving to Causes You Believe In