Data Scientist

January 15

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Sand Technologies

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Sand Technologies is a global leader in using artificial intelligence and data to address complex problems faced by businesses, industries, and governments worldwide. With a mission to create sustainable solutions beyond the AI hype, Sand Technologies focuses on delivering real value for its customers by solving pressing challenges through innovative digital solutions. The company emphasizes its core values of courage, humility, adventure, initiative, and resilience to drive progress and inspire change. As a team of tech enthusiasts and professionals, Sand Technologies is committed to leveraging AI for good, aiming to make a meaningful difference globally.

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• About Sand Technologies: fast-growing enterprise AI company solving real-world problems. • Seeking experienced Senior Data Scientist to leverage data analysis and machine learning skills. • Responsibilities include independent research and collaborative development of data science models. • Key roles include communicating results, staying current with industry developments, and mentoring junior data scientists.

🎯 Requirements

• Fluency in Python with experience with at least one cloud provider; preferably Azure. • Qualified experience in a related field, including, but not limited to, Data Science, Machine Learning & Computer Science. • 5+ years of experience in data science and machine learning, with a strong track record of independent research and development a plus. • Strong technical background, with expertise in a range of machine learning algorithms and data science techniques. • Strong experience in delivery across the lifecycle of machine learning products, adhering to robust software engineering practices. • Excellent communication, with the ability to communicate complex data science concepts to technical and non-technical audiences. • Strong collaboration skills, with the ability to work effectively with cross-functional teams. • Passion for data science and machine learning, with a desire to continuously learn and innovate. • Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI. • Experience sharing research in academic or industry forums, and drive to expand Sand's industry footprint. • Experience in retail, utilities (e.g. water or telco) or financial services industries.