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Senior Algorithms Engineer

🕒 Ontem

🌲 North Carolina – Remoto

infoinfo

💵 $123.000 - $158.000 / ano

⏰ Tempo Integral

🟠 Sênior

👷🏻‍♀️ Engenheiro

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Keen Decision Systems, não em um site de vagas

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Ainda aberta no site da Keen Decision Systems. Verificada 8 horas atrás.

Logo of Keen Decision Systems

Keen Decision Systems

11 - 50 funcionários

Fundada em 2010

🤖 Inteligência Artificial

🤝 B2B

📣 Marketing

Artificial Intelligence • B2B • Marketing

A Keen Decision Systems é uma plataforma de Modelagem de Mix de Marketing (MMM) impulsionada por IA que ajuda marcas e agências a otimizar seus investimentos em marketing e gerar melhores resultados de receita. Conectando dados de marketing a insights financeiros, a Keen capacita os profissionais de marketing a prever, analisar e alocar seus orçamentos de maneira eficaz em vários canais em tempo real. A plataforma utiliza técnicas avançadas de análise e modelagem preditiva, permitindo que os usuários entendam o ROI de seus esforços de marketing e tomem decisões informadas que aumentam a lucratividade e o crescimento.

Descrição

• Develop, deploy, and improve algorithms running in Keen AI Cortex • Own algorithmic features end-to-end by designing, implementing, testing, shipping, and monitoring them in production • Contribute to adjacent Python backend projects involving Django, FastAPI APIs, and AWS infrastructure • Maintain engineering practices including code review, tests, CI gates, documentation, and ticketed workflows • Use AI coding tools with judgment and identify confidently incorrect model output • Develop algorithms from business ideas into production code • Collaborate on solutions and provide constructive technical pushback • Communicate across Product, Research, and Engineering • Write design documents, identify tradeoffs, and drive decisions • Work directly with the Lead Engineer and Principal Algorithms Architect

🎯 Requisitos

• 7+ years shipping production Python on a team • Knowledge of inference methods, particularly in economics and business domains, including time-series models or state-space modeling, probability modeling, and multivariate systems • Comfortable with tests, CI, code review, documentation, and ticketed workflows • Hands-on experience with AWS and Docker • Ability to operate independently, scope work, communicate with stakeholders, and make judgment calls • Clear written and spoken communication • Mathematics foundation in linear algebra, probability, and statistics • Ability to read and write mathematical specifications and interpret and improve documented solutions • Working knowledge of pandas and NumPy for implementing algorithms • Nice-to-have: Marketing Mix Modeling (MMM) or another econometric background • Nice-to-have: Bayesian inference experience • Nice-to-have: Optimization exposure • Nice-to-have: Track record of developing mathematical algorithms into shipped production systems

🏖️ Benefícios

• Three-day weekend due to a Monday–Thursday workweek • Conscious Culture workplace described as intentional, inclusive, and inspiring • Empowered and accountable work environment

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