Senior Data Scientist

🕒 Fevereiro 18

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $160.000 - $208.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

🦅 Patrocina Visto H1B

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Button

51 - 200 funcionários

Fundada em 2014

☁️ SaaS

🛍️ Comércio Eletrônico

🤝 B2B

SaaS • eCommerce • B2B

Button é uma plataforma B2B SaaS que otimiza o comércio móvel direcionando os usuários para o destino de maior conversão usando roteamento inteligente impulsionado por IA e deep-linking. A plataforma ajuda varejistas, publicadores, anunciantes e criadores a consolidar orçamentos de afiliados, mídia de varejo e vendedores em uma única plataforma, impulsionar conversões dentro de aplicativos e fornecer atribuição determinística e análises de desempenho seguras e privativas. A Button integra-se com parceiros de mensuração móvel (MMPs) e oferece soluções prontas para uso para aumentar a receita por toque, engajamento de aplicativos e monetização de publicadores.

Descrição

• Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization • Own A/B testing strategy and causal measurement for product features and partner performance • Partner with engineers to productionize models and integrate them into live systems • Build analyses, dashboards, and tools that inform product strategy and customer outcomes • Define metrics and success criteria for new initiatives • Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations • Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack • Raise the bar for statistical rigor and experimentation across the company

🎯 Requisitos

• 5+ years applying statistics or machine learning in production environments • Deep understanding of experimentation, causal inference, and Bayesian or frequentist methods • 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy • Strong Python skills • Strong SQL proficiency and proven track record working with large scale datasets • Experience with AWS, distributed systems, and high volume data pipelines • Experience deploying and maintaining models in production • Solid foundation in linear algebra, optimization, and model evaluation • Experience with AI/ML operations & tooling: understanding of API rate limiting, inference workload patterns, accelerator management

🏖️ Benefícios

• Unlimited time off (including birthdays off) • Periodic Mental Health Weeks • 401(k) plan with 3% company contribution • 100% premiums covered for health, vision, and dental insurance for employees • 75% premiums covered for dependents • Complimentary memberships to One Medical • Monthly stipend for mobile phone/internet • Annual lifestyle stipend • 'All Access' memberships to WeWork in select markets • Regular coworking days and social events

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