Lead Data Scientist

{ "@type": "Organization", "name": "Fusemachines", "url": "https:\/\/www.fusemachines.com\/" } (function(d, s, id) { var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) {return;} js = d.createElement(s); js.id = id; js.src = "//connect.facebook.net/en_US/all.js#xfbml=1&appId=111945028836579"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); « Back to Jobs Fusemachines Lead Data Scientist Internal - Remote - Full Time About FusemachinesFounded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.About the roleA Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. Responsibilities:Lead a team of data scientists to develop innovative solutions to complex business problems.Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve