Data Scientist II

Vaga não está no LinkedIn

🕒 2 dias atrás

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Bluesight

SiteLinkedInTodas as Vagas

51 - 200 funcionários

⚕️ Seguro de Saúde

📋 Conformidade

🛒 Varejo

Healthcare Insurance • Compliance • Retail

A Bluesight é uma empresa de tecnologia em saúde especializada em otimizar operações de farmácias hospitalares através de soluções inovadoras de gerenciamento de medicamentos. Seus produtos, incluindo gerenciamento de medicamentos por RFID e vigilância de desvio de medicamentos, automatizam processos de rastreamento de inventário e compras, garantindo conformidade enquanto aumentam a eficiência. Ao consolidar soluções essenciais do sistema de saúde sob um único fornecedor, a Bluesight capacita a equipe de farmácia e executivos com insights acionáveis para otimizar operações e reduzir custos, comprovados por seu reconhecimento como líder de mercado em Gestão de Kits e Bandejas e suas premiadas soluções de privacidade.

Descrição

• Develop and productionize machine learning models for a range of healthcare products, including monitoring controlled substance handling and patient privacy, and inventory management • Define and track KPIs to measure model performance and business impact • Collaborate with product teams and customers to scope analytics projects and build prototypes. Translate ambiguous business problems into well defined, quantitative, and testable hypotheses. • Communicate technical findings to both technical and non-technical stakeholders, including customers. Present results and recommendations in customer-facing meetings. • Inform product roadmaps, evaluate technical feasibility, and assess project risks. • Quickly ramp up on new healthcare data sources as products evolve and adapt to new ML techniques and tools as needed for product requirements • Raise the skill level of the entire analytics team by modeling strong research communication through team presentations and documentation. Drive collaboration through code reviews, experimental design feedback, and participation in model evaluation discussions.

🎯 Requisitos

• Degree or equivalent years of experience in data science, statistics, computer science, or similar quantitative field • Ability to develop and productionize code in Python to serve API endpoints (e.g. Flask, FastAPI) • A willingness to leverage genAI tools to assist with rapid experimentation • Understanding of statistical models including distributions and transformations. Ability to create and evaluate supervised and unsupervised machine learning models (tree-based models, clustering) in a practical/applied context • Hands-on experience with AWS cloud services including SageMaker, Athena, RDS, Glue, ECR, IAM, and CodeBuild • Strong knowledge of Git workflows and version control best practices • Understanding of SQL • Prior track record of a customer-friendly approach in presenting information and analysis for non-technical audiences • Excellent verbal and written communication skills with an ability to advocate technical solutions to engineering teams as well as business stakeholders.

🏖️ Benefícios

• Competitive salary • Time off when you need it – unlimited vacation days! • Generous insurance coverage • 401k program with a company match • Fun, collaborative culture!