Senior Data Scientist

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🕒 Abril 20

🌵 Arizona, California, +7 estados a mais – Remoto

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🎰 Nevada – Remote 🌶️ New Mexico – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $170.000 - $190.000 / ano

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Dataiku

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💰 $400.000.000 Series E em 2021-08

A Dataiku é a plataforma para IA no dia a dia, sistematizando o uso de dados para resultados excepcionais nos negócios. As organizações que utilizam a Dataiku elevam suas equipes (sejam elas técnicas e trabalhando com código ou na área de negócios com pouco ou nenhum código) a um nível extraordinário, capacitando-os com a capacidade de tomar melhores decisões cotidianas com dados. Mais de 450 empresas em todo o mundo usam a Dataiku para sistematizar o uso de dados e IA, impulsionando diversos casos de uso, desde detecção de fraudes até prevenção de churn de clientes, manutenção preditiva até otimização da cadeia de suprimentos, e tudo mais.

Descrição

• Scope and co-develop production-level data science projects with our customers across different industries and use cases • Help users discover and master the Dataiku platform via user training, office hours, and ongoing consultative support • Provide strategic input to the customer and account teams that help make our customers successful. • Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams • Lead technical data science projects pre-sales scoping and design appealing proposals • Flag technical and non-technical account risks (onboarding issues, performance pitfalls, timeline slippage) • Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality • Lead Data Scientist engagements: You will coordinate agile sprints, prioritize tasks, estimate effort, do backlog grooming • Run demo booth/tech talk duties at company public events (e.g. Everyday AI) • Lead Junior Data Scientist technical interview • Contribute to 2 internal assets (internal best practice or external blog post/project on the public gallery) per year

🎯 Requisitos

• Over 5 years of experience with Python and SQL • Over 5 years of experience with building ML models and using ML tools (e.g., sklearn) • Experience with LLMs • Experience with data visualization and building web apps with Python frameworks (Dash, Streamlit) • Understanding of underlying data systems such as Cloud architectures and SQL • Bachelor’s or Master’s program focused on: Statistics, Computer Science, or a related field • Must be located within the CST, MST, and PST time zones

🏖️ Benefícios

• stock options • medical • dental • vision plans • flexible spending accounts • pre-tax commuter benefits • 401k company match • paid vacations and sick leave • paid parental leave • employer paid disability coverage • additional health and wellbeing perks and benefits