Data Scientist

Vaga não está no LinkedIn

🕒 6 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $53 - $85 / hora

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

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Foundation

SiteLinkedInTodas as Vagas

11 - 50 funcionários

₿ Cripto

🏪 Marketplace

🛍️ Comércio Eletrônico

💰 $200.000 Seed Round em 2021-02

Crypto • Marketplace • eCommerce

A Foundation é uma plataforma que facilita o comércio de tokens não fungíveis (NFTs), exibindo obras de arte digitais e ilustrações inspiradas em temas cósmicos e transformadores. Ela permite que artistas criem, vendam e exibam seus trabalhos em um mercado crescente, focando na interseção entre criatividade e tecnologia. A plataforma abraça a natureza evolutiva da arte em relação ao cenário digital, particularmente através da lente dos NFTs e da tecnologia blockchain.

Descrição

• Collaborate with clinical, administrative, and technical teams to support data-driven decision making • Query and analyze large datasets across multiple systems • Develop and deploy machine learning and predictive models • Design and implement pilots to validate and optimize models in real-time environments • Create data visualizations, technical documentation, and executive-ready presentations • Translate complex data findings into actionable insights for non-technical stakeholders • Manage projects involving complex datasets and cross-functional teams • Independently execute analytical work from hypothesis through final deliverables • Identify patterns and trends to support innovation in care delivery and operations

🎯 Requisitos

• Master’s degree with 0+ years of experience, or Bachelor’s degree with 3+ years of relevant experience • Experience with data analytics, statistical modeling, and machine learning techniques • Proficiency in at least one programming language such as Python, R, Java, or C/C++ • Strong experience with SQL and working with relational databases • Experience with machine learning (e.g., Random Forest, XGBoost, LightGBM) and deep learning techniques (e.g., CNN, RNN, LSTM) • Ability to extract, analyze, and interpret data to develop testable hypotheses and predictive models • Experience with data visualization and communicating insights to non-technical audiences • Strong problem-solving skills with the ability to work independently and manage complex projects • Familiarity with healthcare data, EHR systems, genomics, or medical imaging preferred • Experience with cloud platforms such as AWS or Azure and modern data science tools preferred

🏖️ Benefícios

• Comprehensive Benefits