Foundation
11 - 50 employees
₿ Crypto
🏪 Marketplace
🛍️ eCommerce
💰 $200k Seed Round on 2021-02
Crypto • Marketplace • eCommerce
Foundation is a platform that facilitates the buying and selling of NFTs (Non-Fungible Tokens). It provides a marketplace where artists and collectors can connect and trade digital artworks and collectibles, often expressed in Ethereum cryptocurrency. The platform features various trending and featured works, including exhibitions and galleries presented by different artists or collectives. Foundation Labs operates with a focus on the digital art community, providing a space for creators to showcase their work to a global audience.
Lead Data Scientist
Job not on LinkedIn
🕒 April 8
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Foundation
11 - 50 employees
₿ Crypto
🏪 Marketplace
🛍️ eCommerce
💰 $200k Seed Round on 2021-02
Crypto • Marketplace • eCommerce
Foundation is a platform that facilitates the buying and selling of NFTs (Non-Fungible Tokens). It provides a marketplace where artists and collectors can connect and trade digital artworks and collectibles, often expressed in Ethereum cryptocurrency. The platform features various trending and featured works, including exhibitions and galleries presented by different artists or collectives. Foundation Labs operates with a focus on the digital art community, providing a space for creators to showcase their work to a global audience.
📋 Description
• Lead the development of data-driven clinical decision support tools through predictive analytics to optimize clinical care processes. • Partner with department leaders and clinical end users to understand and prioritize the pain points. • Collaborate with administrative leaders, clinicians, and IT specialists to support data strategy and execution. • Lead decision support data science team in developing high quality, robust and reliable algorithms. • Plan, resource, strategize and manage clinical decision support projects. • Query and analyze large datasets from multiple systems. • Evaluate methodologies and data sources for the best approach to solve data science problems. • Design and implement machine learning algorithms for predictive models. • Produce technical documentation and data visualizations to present project progress and results.
🎯 Requirements
• Master’s in computer science, engineering, statistics, mathematics, physics or related field • 8+ years of experience with data analytics within industry, developing and successfully implementing statistical and machine learning models for data mining, classification, prediction and decision support. • 3+ years of experience with decision trees • Strong leadership skills with 2+ years of experience leading a technical team
🏖️ Benefits
• Comprehensive Benefits
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