Lead Data Scientist

🕒 2 dias atrás

🏄 California – Remoto

🏄 California – Remote

💵 $160.000 - $200.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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

OneSix

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2013

🤖 Inteligência Artificial

Artificial Intelligence • Data & Analytics • Healthcare & Life Sciences

A OneSix é uma empresa que potencializa o poder de dados e IA para gerar resultados de negócios concretos em diversos setores. Com expertise em Estratégia de Dados e IA, Engenharia de Dados, Análise de Dados e IA e Machine Learning, oferece soluções de ponta a ponta, sob medida para os desafios únicos de indústrias como Serviços Financeiros e Saúde. Sua equipe qualificada de Engenheiros de Dados, Cientistas de Dados e Engenheiros de IA/ML trabalha lado a lado com os clientes para destravar o potencial dos dados e aumentar a eficiência operacional.

Descrição

• Own client engagements end-to-end: scope the problem, build the solution, manage expectations, and deliver • Lead small project teams and serve as the technical and strategic point of contact for clients • Design, build, and deploy ML solutions across a range of domains and use cases in a landscape where no two projects are the same • Work across the full deployment spectrum including managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized Python solutions running on raw infrastructure • Mentor junior and senior data scientists and help shape how we practice ML at OneSix • Evaluate emerging tools and techniques and bring the right ones to bear on client problems

🎯 Requisitos

• 6+ years of hands-on ML experience with a track record of shipping models to production • Background in consulting, professional services, or client-facing delivery strongly preferred, you know how to manage scope, communicate risk, and keep a client confident • You have a strong suit in at least one area: predictive/classical ML, computer vision, or LLM/agentic systems. You’re comfortable being stretched into adjacent ones • Comfortable across the full deployment stack: managed cloud services and building from scratch with Python, Docker, and EC2-style infrastructure. You write clean production code, not just notebook code. • Fluency in Python and SQL; comfortable with Git and frameworks like PyTorch, Scikit-learn, or Hugging Face depending on your domain • Experience with experiment tracking and ML lifecycle management (MLflow, Weights & Biases, or similar) • M.S. or Ph.D. in a quantitative field, or equivalent depth demonstrated through shipped work • Strong communicator who can make a complex model legible to a non-technical executive and to a skeptical engineer • Must be based in the US or Canada.

🏖️ Benefícios

• Competitive compensation • Company-paid medical, vision, dental, and wellness benefits for employees • Company-provided home office equipment • Flexible vacation and sick days • Team-oriented and supportive working environment • Company-sponsored events and swag