Data Scientist

Job not on LinkedIn

🕒 March 31

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Entefy

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $5M Funding Round on 2021-08

Artificial Intelligence • SaaS • Enterprise

Entefy is an advanced AI and automation company specializing in multisensory AI technology designed to empower intelligent enterprises. With its comprehensive platform and innovative products such as the Mimi AI Engine, Entefy provides solutions in various fields including digital supply chain management, credit and risk decisioning, and crypto market intelligence. Entefy's technology is aimed at solving high-value business problems through AI-driven analytics and automation, enhancing productivity and efficiency in diverse industries. It boasts a vast intellectual property portfolio and significant investment in R&D to advance its core technologies, which cater to a wide range of global enterprises.

📋 Description

• Entefy's Senior Data Scientist is a highly visible position both internally and externally. • Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. • This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. • We're not looking for 'good.' Entefy is on a mission to find exceptional talent. • The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.

🎯 Requirements

• Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a compatible field. PhD is preferred. • 3+ years of applicable work experience. • Demonstrable proficiency in Python, Scala, SQL, or R. • Strong data visualization and reporting skills. • Proven track record delivering high-value, advanced analytics. • Experience leading the work of other data scientists or analysts is preferred. • World-class ability to extract and communicate insights from real-world datasets. • Startup agility and versatility.