Staff Data Scientist – Fraud, Billing

🕒 Fevereiro 25

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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Machinify

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

☁️ SaaS

💰 $10.000.000 Series A - Machinify em 2018-10

Healthcare Insurance • Artificial Intelligence • SaaS

A Machinify é uma empresa de plataforma e serviços de IA focada em saúde que transforma pagamentos e a integridade de pagamentos no setor. Seu sistema operacional de IA unifica reivindicações, prontuários médicos, contratos e políticas, utilizando modelos fundamentais e agentes específicos de tarefas para automatizar e aprimorar a codificação, precisão de pagamentos, recuperações e prevenção de custos. A Machinify atende planos de saúde (incluindo 18 dos 20 maiores), oferece implantações internalizadas, híbridas ou totalmente gerenciadas e enfatiza resultados mensuráveis — relatando mais de 85 clientes, 270 milhões de vidas cobertas e mais de 6 bilhões de dólares em prevenção de custos e recuperações anuais.

Descrição

• Build and ship classical ML and GenAI pipelines that surface, rank, and explain candidate billing error, audit, and fraud concepts across large-scale healthcare claims data • Advance state-of-the-art research in anomaly detection, information retrieval, and weak supervision, turning research into robust production systems • Accelerate concept generation and concept validation with SMEs by designing human-in-the-loop workflows that enable high-throughput review with strong precision, recall, and traceability • Own end-to-end delivery from problem framing and data strategy to model development, evaluation, deployment, and monitoring, with a focus on reliability and customer outcomes • Partner cross-functionally with Product, Data Engineering, Operations, SMEs, and business leaders to prioritize work, unblock execution, and unlock material financial value • Help scale the team and platform as Machinify grows aggressively toward resale and IPO readiness

🎯 Requisitos

• Degree in Computer Science, Engineering, or a related field • 10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment • Strong knowledge of data privacy regulations and best practices in data security • Exceptional team management abilities, with experience in building and leading high-performing teams • Ability to think strategically and execute methodically • Ability to drive change and inspire a distributed team • Strong problem-solving skills and a data-driven mindset • Ability to communicate effectively, collaborating with diverse groups to solve complex problems • You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development • You prioritize customer impact, ensuring your work significantly advances our product value

🏖️ Benefícios

• Work from anywhere in the US! Machinify is digital-first. • Top Medical/Dental/Vision offerings • FSA/HSA • Tuition reimbursement • Competitive salary, 401(k) with company match • Unlimited PTO • Additional health and wellness benefits and perks • Flexible and trusting environment where you’ll feel empowered to do your best work