Data Scientist - Freelance

About Twine We're a thriving ecosystem of top-tier freelancers from around the world. Trusted by Fortune 500 companies and Silicon Valley startups, Twine is the go-to platform for mission-critical projects. With over half a million registered freelancers and a growing roster of 35,000 companies, we've become the comprehensive solution for freelancing. Our Mission At Twine, we recognise that companies require a flexible approach to hiring expert freelancers for their most critical projects. Traditional freelance platforms often fall short when it comes to scalability and diversity. That's where we shine. Twine operates as a thriving global freelance network, with diverse experts across various fields, including marketing, engineering, and AI. Our core mission is to empower creators, whether they're businesses or individual freelancers, to thrive in their creative endeavours. About the Role Our client is looking for a mid-level Data Scientist and AI Specialist to help leverage data stored within Google Apps, such as Gmail and Drive, to drive actionable insights and AI-driven solutions. This role is crucial for transforming their data into strategic resources that enhance client engagement and optimise operations. Key tasks include data mining, cloud technology management, AI model development, and data organization within cloud environments. This is a single-project engagement with the potential for future collaboration, and the role is fully remote. Requirements Proven experience as a Data Scientist with a strong background in data mining, cloud technologies, and AI development. Proficiency with Google Apps, including Gmail and Drive, and familiarity with data extraction and organization within these tools. Skills in AI model development and implementation, focusing on solutions that enhance user engagement and operational efficiency. Experience managing and optimizing data within cloud environments, such as Google Cloud or similar platforms. Strong analytical and problem-solving abilities, with a detail-oriented approach to developing data-driven insights. Availability for remote work, with flexibility for ongoing collaboration.