Data Scientist

Vaga não está no LinkedIn

🕒 Abril 22

🗽 New York – Remoto

🗽 New York – Remote

💵 $180.000 - $220.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

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Junction

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2015

📚 Educação

🤝 Sem Fins Lucrativos

Education • Non-profit

Junction é uma organização sem fins lucrativos que realiza hackathons e eventos de desenvolvedores em larga escala, de nível mundial, focados em inovação de tecnologia e inteligência artificial. Organiza encontros de destaque (como o Junction 2025 em Espoo, Finlândia) que reúnem engenheiros, designers e empreendedores para aprendizado intensivo baseado em projetos, networking e competições com empresas parceiras e prêmios. A Junction também apoia sua comunidade através de pré-eventos, bolsas, programas de voluntariado, empregos e canais online para conectar participantes e parceiros do setor.

Descrição

• Own the research and modeling work underlying Junction’s highest-priority data science opportunities across diagnostics, clinical workflows, and AI-enabled product features • Define rigorous frameworks for measurement, experimentation, and causal evaluation so we can distinguish signal from noise and make decisions we can defend • Lead development of predictive models, segmentation approaches, risk or routing logic, and other statistical systems that directly inform product and business strategy • Build the analytical foundation behind customer-facing features — from model development through to validation and performance tracking • Partner with engineering and data engineering to ensure models and analytical systems can be put in production, are reliable, and useful in real workflows • Establish how Junction evaluates data-driven and AI-enabled features, including methodology, quality thresholds, monitoring, and performance review • Communicate complex technical findings clearly to technical and non-technical stakeholders, including tradeoffs, limitations, and implications for action

🎯 Requisitos

• Strong track record of leading high-stakes analytical work that influenced product, operational, or business decisions • Deep foundation in statistical inference, experimental design, observational analysis, and model evaluation • Strong Python and/or R skills, with experience working on large, messy real-world datasets • Experience building predictive or decision-support models in production or near-production environments • Experience partnering closely with engineering to move work from analysis or prototype into deployed systems • Ability to operate at both strategic and hands-on levels: defining the roadmap while also getting into the details when needed • Strong communication and stakeholder management skills; able to explain methods, findings, and tradeoffs to executives as well as technical peers • Comfort operating in a startup environment with ambiguity, limited structure, and high ownership

🏖️ Benefícios

• Generous early stage options (extended exercise post 2 years employment) • Regular in-person offsites, last were in Tenerife and Miami • Monthly learning budget of $300 for personal development and productivity • Flexible, remote-first working - including $1K for home office equipment • Monthly budget of $150 to use towards a coworking space • 25 days off a year + national holidays • Healthcare coverage depending on location